เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Python, Golang, React.js, node.js, English, Thai

ประเภทงาน:

งานประจำ

• Be a part of a pioneering team in AI.
• Work on cutting-edge technology projects.
• Collaborative and innovative work environment.
• Opportunities for professional growth and development.
• Software Development: Develop new applications and enhance existing ones to meet business requirements. This includes working with tech stacks such as Python (fast api), PHP (Laravel), Go, and JavaScript (React) to create robust, scalable solutions.
• Application Support: Provide ongoing support for applications, including troubleshooting, resolving issues, and training end-users on how to effectively use programs and applications.
• Data Integration: Integrate data from various systems and databases, ensuring seamless communication between different platforms.
• Customer and Hardware Support: Offer technical support for system hardware, servers (both Windows and Linux), storage solutions, and our IoT integration software and platform.
• Collaboration: Coordinate with internal teams and external partners to enhance or customize applications and programs, particularly focusing on integration with ALPR systems built with Python and React.
• Technical Support: Assist customers and partners with technical tasks, including support for Windows Server, Linux, VMware, and Backup solutions.
• Team Support and Travel: Support team activities and be willing to travel as required.
• Experience: At least 2 year of experience in programming, particularly with Python, DevOps, or Golang. Experience with PHP (Laravel) and Go is preferable.
• Communication: Proficient in English, with the ability to effectively communicate with team members and clients.
• Education: Bachelor s degree in Engineering, Computer Information Technology (CIS), Computer Science, or a related field.
• Additional Skills: Basic knowledge of machine learning and AI platforms is an advantage. Familiarity with VMware, Linux, and Backup systems is also beneficial.
• Programming Skills: Strong coding abilities in Python, Golang, JavaScriptc (React), PHP (Laravel), progress sql, MongoDB will be advantageous.
• Work Environment: This is a full-time, hybrid position with the flexibility to work remotely and travel as needed.
• Competitive Salary and Bonuses: Offering a competitive base salary with performance-based bonuses to reward hard work and achievements..
• Health and Wellness Programs: Comprehensive health/dental supporting plan..
• Flexible Working Hours and Remote Work Options: Flexible schedules and the option to work remotely, accommodating different work-life balances and reducing commute stress..
• Paid Time Off: Generous vacation days, holidays, and sick leave, encouraging employees to rest and rejuvenate..
• Parental Leave: Extended maternity and paternity leave, supporting employees during major life events..
• Technology Allowances: Provision of the latest tools and technology to facilitate efficient and innovative work..
• Employee Recognition Programs: Regular acknowledgment of employee achievements, whether through awards, acknowledgments in meetings, or other forms of appreciation..

ทักษะ:

Project Management, SQL, Python, English

ประเภทงาน:

งานประจำ

• Adjust language models that have already been trained for generative AI applications Ensure that the LLMs and pipelines based on LLMs are tuned and released.
• Create and implement LLMs for various content creation jobs Develop and communicate roadmaps for data science projects.
• Design effective agile workflows and manage a cycle of deliverables that meet timeline and resource constraints.
• Serve as a bridge between stakeholders and AI suppliers to facilitate seamless communication and understanding of project requirements.
• Work closely with external AI suppliers to ensure alignment between project goals and technological capabilities.
• Identify and gather data sets necessary for AI projects.
• Prior experience in Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points.
• Prior hands-on experience in data-mining techniques to better understand each pain point and provide insights.
• Able to design and conduct analysis to support product & channel improvement and development.
• Present key findings and recommendations to business counter parties and senior management on project approach and strategic planning.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• Native Thai speaker & fluent in English.
• 3+ years of proven experience as a Data Scientist with a focus on project management (Retail or E-Commerce business is preferable).
• At least 2+ years of relevant experience as an LLM Data Scientist Experience in SQL and Python (Pandas, Numpy, SparkSQL).
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in machine learning and deep learning (Tensorflow, Keras, Scikit-learn).
• Good Knowledge of Statistics.
• Experience in Data Visualization (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Having good attitude toward team working and willing to work hard.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Mechanical Engineering, AutoCAD, Instrument, English

ประเภทงาน:

งานประจำ

• Preparing, maintaining, monitoring, analyzing, and troubleshooting of power plant equipment as rotating machine, accessories machine and piping.
• Controlling and reducing the maintenance costs to have production effectiveness within the specified limits.
• Analyzing and solving machinery problems in normal and urgent situations/cases or on-call for continuous operation of machinery.
• Studying to propose the most appropriate solution for maintenance activities to be further leveraged.
• Monitoring the environmental system.
• Job Qualifications.
• Bachelor s degree or higher in Mechanical Engineering.
• Minimum 3 years experience in mechanical maintenance (New graduate who is a high-potential and seeking for job challenging is also welcome).
• Experience in power plant would be an advantage.
• Good Mechanical understanding of Industrial plant and power plant.
• Proficiency in Auto CAD, PLC, DCS, Scada, instrument, control valve and analyzer.
• Good command in English (Minimum 500 TOEIC score).
• Ability to work on-call on weekends and holidays.
• Goal-Oriented, Unity, Learning, Flexible.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, SQL, Python, English

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Master degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Analysis, Tableau, Excel

ประเภทงาน:

งานประจำ

• Work closely with stakeholders to understand business requirements, identify opportunities, and whitespace to commercialize data-driven insights and solutions.
• The candidate will need to lead data analysis and sales pitching for the Annual Media planning process, and have good commercial awareness and communication skills to be able to connect with multiple stakeholders.
• Break down business questions into analytical frameworks, and being able to talk the language of technical teams as well as commercial stakeholders is a key requirement ...
• The candidate will need to lead the development of end-to-end data lead media solutions, and media measurements to keep ahead of the media industry standards and own roadmap to deploy and modernize media measurements across different media platforms, channels, and mechanics.
• Candidates should have some idea of offline and online SSP and DSP platforms and architecture, and market direction to strategically build and improve media solutions, either owned or in partnership with external parties.
• Be proactive and co-own the go to market strategy along with commercial stakeholders for multiple media channels/ and other data commercialization initiatives, and proactively help plan the right focus areas for the team, develop solutions and products to help build the roadmap and pipeline for commercial opportunities.
• Develop and implement predictive models, statistical algorithms, and machine learning models to support business needs.
• Develop and implement data visualizations using PowerBI/ Data Studio/QuickSight/ Tableau/ Excel to effectively communicate insights to stakeholders.
• Collaborate with cross-functional teams, including business analysts, product managers, and developers, to implement data-driven solutions.
• Stay up to date with emerging technologies, marketing technology platforms, omni-channel media and industry trends to identify new opportunities for improving data analytics and applications.
• Mentor and coach junior data scientists and data analysts to develop their skills and expertise.
• Bachelor s or Master s degree in data science/ engineering/ statistics/economics/ computer science/ mathematics, or a related field is a requirement.
• MBA/Business degree with strong background in technical understanding and hands-on expertise is preferable.
• Online media experience will be a strong advantage.
• 8+ years of experience as a data scientist or data analyst in marketing across any industry is a requirement.
• Strong proficiency in Python/ Pyspark/ SQL/ R is a requirement.
• Strong experience in story telling from data, analysis and insight is required.
• Commercial understanding, and having a balanced approach for go-to-market strategy is a requirement.
• Experience with machine learning algorithms and statistical modeling is a bonus.
• Strong communication skills and the ability to collaborate with cross-functional teams is a requirement.
• Proven ability to work independently and manage multiple projects simultaneously is a requirement.
• The candidate must display a high sense of accountability and be agile in handling high value projects, and be able to motivate the team to deliver as a shared objective with the commercial plan.
• Experience in mentoring and coaching junior/ senior DA/ DS is a requirement.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Java, TypeScript, Javascript, English

ประเภทงาน:

งานประจำ

• Planning and delivering proactive and reactive support including onsite presence as needed (post Covid restrictions).
• You will work with a larger customer account team to strengthen customer relationships and to work on Microsoft cloud and application innovation strategies that allow you to develop an immediate and long-term Customer Success Plan and Value Based Delivery for reactive and proactive needs.
• You will Identify and manage customer goals and SfMC opportunities across Azure PaaS ...
• You will drive and participate in proactive delivery management as well as spot performance issues, analyze problems, and drive activities focused on stabilizing and optimizing your customer s solution.
• You will work with internal Microsoft support teams, account teams, product engineering and service engineering teams and other stakeholders to ensure a streamlined and efficient customer support experience.
• You will apply and share lessons learned for continuous process and delivery improvement for the customer and peers.
• You will engage in meetings with your customers and account teams to review Support for Mission Critical services, customer support issues, and articulate your Customer Success Plans.
• You will share and gain knowledge through technical communities.
• You will contribute to on-call rotations to ensure a high quality of service for the critical incidents created by Support for Mission Critical customers.
• Required Qualifications5+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, Typescript, JavaScript, or Python OR equivalent experience.
• 5+ years experience with architecting and building large-scale complex enterprise services on cloud platforms such as Azure or AWS.
• 5+ years of Azure PaaS related experience. Breadth of technical experience and knowledge, with depth / Subject Matter.
• Expertise in the following Azure PaaS areas is expected.
• o Azure Container Services, including AKS, ACA, ACI etc.
• o Azure API Management
• o Azure App Service
• o Azure Function
• o Application DevelopmentStrong knowledge and experience in designing and implementing Azure PaaS solutions.
• Experience in designing, implementing, and shipping complex enterprise software products/services.
• Hands-on ability to write secure, reliable, and maintainable code and to test and debug.
• Familiar with Microsoft cloud adoption framework, Well-architected framework.
• Strong knowledge and experience in.NET Core,.NET Framework and C#.
• Strong knowledge and experience in DevSecOps and Site Reliability Engineering.
• Strong knowledge and experience in Application monitoring and familiar with products/services like application insights, Prometheus, Grafana etc.
• Strong knowledge and experience in microservice design.
• Strong knowledge and experience in container ecosystems, including Kubernetes, docker, service mesh etc.
• Proficiency in utilizing GitHub and/or Azure DevOps Service.
• Ability to operate and be successful in a highly ambiguous, rapidly evolving environment.
• Azure IaaS.
• Strong knowledge and experience in designing and implementing Azure storage solutions.
• Strong knowledge and experience in designing and implementing Azure networking solutions.
• Strong knowledge and experience in designing and implementing Azure compute solution.
• Strong knowledge in high availability and disaster recovery features for IaaS components.
• Familiar with Azure security services/features.
• Strong knowledge and experience in building infra-as-code solution by using products like Azure Bicep, Azure arm template, terraform, ansible etc.
• Language QualificationThai Language: confident in reading and writing and moderate speaking.
• English Language: fluent in reading and writing and speaking.
• Other QualificationsExperience in systems management, network operations, software support, IT consulting, or related roles.
• Solid understanding of client/server, networking, and Internet technologies fundamentals.
• Must have outstanding customer service skills with excellent oral and written communication skills as well as experience providing training to peers or customers.
• Must demonstrate strong interpersonal and leadership skills while working with diverse audiences including highly technical IT professionals, engineers, developers, and architects as well as executives and management professionals in both customer and Microsoft teams.
• Must have experience leading and driving projects as well as motivating others.
• Must be self-motivated, resourceful and able to handle multiple responsibilities as a Microsoft Cloud Solution Architect and Support for Mission Critical professional.
• Need to demonstrate the ability to develop strong strategic customer relationships that gain the trust and respect of customers.
• Need the ability to handle critical technical issues and work in difficult support situations.
• Need a proven ability to handle difficult or sensitive situations with exasperated customers.
• Certification in Microsoft and other Cloud Technologies.
• Below is a plusKnowledge and experience in multi-cloud platforms like AWS, GCP etc.
• Knowledge and experience in Microsoft Coplot products, AI, and Machine Learning.
• Knowledge and experience in Azure relational databases and NoSQL database services.
• Knowledge and experience in open-source technology like LAMP.
• Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Research, Finance, Python, English

ประเภทงาน:

งานประจำ

• Lead data scientist project from scratch.
• Research on quantitative finance model. Turning academic aspect of the model into practice.
• Ability to lead and mentor other team members.
• Orchestrate requirement discussion both technical and non-technical aspect with relevant parties mainly located in Paris, London, US and India.
• Design and implement python script to manipulate data structure/format and price financial asset using both self-created library and pre-defined library or Refinitiv quantitative pricing service.
• Produce minimum level of requirement document.
• Provide 3rd level support of application and relevant systems, comfortable with European shift time.
• Dedicated on research of new technology, quantitative finance model and machine learning/deep learning theory.
• Required skills and experience At least 5 years experience as a data scientist, software engineer or comparable field.
• Good knowledge in Python programming language and application design.
• Solid understanding in applied statistic such as data/probability distribution, linear/non-linear regression, classification model and others.
• Solid understanding in derivative instrument pricing theory.
• Experienced in machine learning and free text mining.
• Fluent in spoken and written English.
• Familiar with financial market content and financial instrument especially derivatives.
• Positive and open attitude, eager to learn new technologies.
• Preferred skills and experience (not required but with advantage) Experience with stock exchange and/or financial institutional.
• VBA (Excel Macro), Database programming, R programming.
• LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Digital Marketing, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topic Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 5 years of full-time work experience within digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Established record of driving digital transformation and topics with value creation in mind.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Digital Marketing, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topics Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3* Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across al ...
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 8 years of work experience; of which at least 3 years in strategy consulting environment and demonstrated experience leading a team of consultants in driving large-scale digital transformation projects and advising clients on a range of technology topics.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Established record of driving digital transformation and topics with value creation in mind.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

ทักษะ:

Assembly, English

ประเภทงาน:

งานประจำ

• Carry out Service Inspection activities during planned outages or in emergency breakdown situations.
• Working alongside our sister companies or 3rd party contractors onsite covering other equipment.
• Supervising a team of mechanical fitters when required.
• Carry out revisions and assembly activities for new equipment installation and machine components.
• How You ll Make an Impact.
• Carry out a site survey checking Risk Assessments and Permit to Work in order to ensure your daily duties can be carried out safely and efficiently.
• Check work equipment, tooling and spare parts to ensure the work can be completed on time and safely.
• Carry out site work activities as detailed in the work scope briefing document.
• Refer to Technical Support when required for clarity on any technical issues.
• Communicate the progress of work to Project Manager and other internal departments.
• Provide Technical support and guidance to Mechanical Fitters.
• Complete Field Service Reports.
• Average time away 15-20 days.
• What You Bring Ideally you can demonstrate education, vocational experience and training as an electronics technician for machines and drive technology, mechatronics technician, industrial mechanic (f/m/d)
• Educated with a degree or associated education qualification in a relevant engineering discipline.
• Strong service mindset and the ability to work and prioritize in a fast-paced environment.
• Work experience in Generators and/or associated equipment.
• Strong communication skills, team cohesion and coordination skills.
• Ability to speak and write in English,.
• Willingness to travel and be away from home on average 15-20 days.
• Experience in international field service is an advantage.
• Experience in fact finding on electrical machines, carrying out and evaluating electrical measurements is desirable.
• Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities. Candidates want to learn about the divisions they will be joining-the structure, how it works together, and the role it plays in driving Siemens Energy s mission forward.
• Who is Siemens Energy?.
• At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we re also using our technology to help protect people and the environment. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
• Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
• Check out this video to learn more about Siemens Energy: https://www.siemens-energy.com/employeevideo.
• Rewards/Benefits.
• Be a trusted advisor to both your Internal and External Stakeholders.
• Develop your technical and soft-skills working with cross-functional teams.
• Take on a higher level of technical and leadership responsibilities within local and regional teams.
• Numerous further training opportunities (technical, soft skills etc.) are available to you on the Siemens Energy Learning platform.
• Jobs & Careers: https://jobs.siemens-energy.com/jobs.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

TensorFlow, Python, Cloud Computing

ประเภทงาน:

งานประจำ

• Serve as the Subject Matter Expert (SME) in AI and machine learning.
• Stay up to date on the latest AI advancements and integrate best practices into PwC's digital strategy.
• Provide thought leadership and insights on emerging AI trends and technologies..
• Solution s architecture.
• Design and create AI-driven solutions tailored to the needs of various lines of service.
• De sign high-level solutions, including system architecture, data flow and integration points.
• Collaborate with technical teams to ensure architectural alignment and adherence to best practices..
• Digital asset development.
• Lead the development and deployment of AI-based digital assets that enhance service delivery for clients.
• Ensure digital assets are scalable, secure and maintainable.
• Oversee the full lifecycle of digital assets from ideation to deployment, and ongoing support..
• Team management.
• Manage, mentor and develop a team of AI and ML professionals.
• Foster a collaborative and innovative team environment that encourages continuous learning and growth.
• Conduct regular performance reviews and provide constructive feedback to team members..
• Client engagement.
• Work closely with client-facing teams to understand client needs and translate them into AI solutions.
• Participate in client meetings and presentations to demonstrate AI capabilities and solutions.
• Provide technical guidance and support during client engagements..
• Collaboration and communication.
• Collaborate with cross-functional teams, including data scientists, engineers and business analysts.
• Communicate complex AI concepts clearly to non-technical stakeholders.
• Foster a culture of continuous learning and innovation within the digital team..
• Project management.
• Manage multiple AI projects simultaneously, ensuring timely delivery and quality.
• Define project scope s, objectives and deliverables in alignment with business goals.
• Monitor project progress and provide regular updates to stakeholders..
• Bachelor s or Master s degree in Computer Science, M athematics, Data Science, Engineering or a related field.
• Minimum of seven years experience in AI or ML development and solution s architecture.
• Proven track record in designing and deploying AI solutions in a business environment.
• Minimum of three years experience in a managerial or team leadership role.
• Experience working with cross-functional teams and managing complex projects.
• E xperience in a consulting environment is advantageous..
• Technical skills.
• Strong foundation in AI concepts and generative AI techniques such as GANs and VAEs.
• Pr actical experience with machine learning frameworks such as TensorFlow and PyTorch.
• Strong programming skills in languages such as Python and R.
• Knowledge of data processing and analysis, natural language processing and computer vision.
• U nderstanding of cloud computing and big data technologies..
• Soft skills.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Ability to work effectively in a team.
• High ly adaptable with a continuous learning mindset.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Available for Work Visa Sponsorship?.
• Government Clearance Required?.
• Job Posting End Date.

ทักษะ:

Digital Marketing, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topic Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 2 years for Associate and 3 years for Senior Associate of full-time relevant work experience within digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Established record of driving digital transformation and topics with value creation in mind.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, Assembly, AutoCAD, English

ประเภทงาน:

งานประจำ

• Concept and architect automation stations and assembly lines.
• Analysis and the creation of User Requirement Specification (URS) in order to determine feasibility of using one or more machines.
• Perform engineering calculations with respect to cycle time, strength of materials, speeds, horsepower, temperature, pressure, force, etc.
• Analyze engineering drawings (mechanical and electrical) and specifications to determine if it meets process and products specifications.
• Formalize and update drawing documentation.
• Work with Celestica Global Machinery Standards.
• Liaise with vendors (local and abroad) for technical information and specifications.
• Communicate all requested design changes to various teams (within Celestica).
• Knowledge of AutoCAD and SolidWorks is an asset.
• Understanding of machinery safety and safety devices.
• Understanding of the use of pneumatics and hydraulics.
• Understanding of the use of electrical and motion devices (i.e. servo, VFDs, switches, load cells, etc.).
• Experience with robotic programming is an asset.
• An understanding of machine vision (2D, 3D and machine learning) as it applied to automation stations for identification, quality, robotic offset and alignment.
• Concept and architect automation stations and assembly lines.
• Analysis and the creation of User Requirement Specification (URS) in order to determine feasibility of using one or more machines.
• Perform engineering calculations with respect to cycle time, strength of materials, speeds, horsepower, temperature, pressure, force, etc.
• Analyze engineering drawings (mechanical and electrical) and specifications to determine if it meets process and products specifications.
• Formalize and update drawing documentation.
• Work with Celestica Global Machinery Standards.
• Liaise with vendors (local and abroad) for technical information and specifications.
• Communicate all requested design changes to various teams (within Celestica).
• Knowledge of AutoCAD and SolidWorks is an asset.
• Understanding of machinery safety and safety devices.
• Understanding of the use of pneumatics and hydraulics.
• Understanding of the use of electrical and motion devices (i.e. servo, VFDs, switches, load cells, etc.).
• Experience with robotic programming is an asset.
• An understanding of machine vision (2D, 3D and machine learning) as it applied to automation stations for identification, quality, robotic offset and alignment.
• Knowledge/Skills/Competencies.
• Refer to technical skills below.
• Typical Experience.
• Minimum 5 years in automation design at a machine integrator, or equivalent, designing and concepting machines from small table top to large stations.
• Basic knowledge of printed circuit board assembly/electronics manufacturing are an asset.
• Fluent in English.
• Able to work based in Laem Chabang, Chonburi, Thailand.
• Typical Education.
• Degree in Mechanical Engineering/ Electrical Control Engineering / Robotics/ Mechatronics Automation Technology or related field.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, Quantitative Analysis, Industry trends

ประเภทงาน:

งานประจำ

• Translating business requirements to technical solutions leveraging strong business acumen.
• You will be a core member of the EY Microsoft Data and AI team, responsible for extracting large quantities of data from client s IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
• Apply expertise in quantitative analysis, data mining and presentation of data to de ...
• Extremely flexible and experience managing multiple tasks and priorities on deadlines.
• Applying technical knowledge to architect solutions that meet business and IT needs, create Data Platform roadmaps, and enable the Data Platforms to scale to support additional use cases.
• Staying abreast of current business and industry trends relevant to the client's business.
• Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
• Understanding customers overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
• Strong team collaboration and experience working with remote teams.
• Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
• Demonstrated significant professional experience of commercial, strategy and/or research/analytics interacting with senior stakeholders to effectively communicate insights.
• Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools.
• Provide directional guidance and recommendations around data flows including data technology, data integrations, data models, and data storage formats.
• To qualify for the role, you must have.
• Bachelor s degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum of 0-1 years of relevant consulting experience with focus on advanced analytics and business intelligence or similar roles. New graduated are welcome!.
• Communication and critical thinking are essential, must be able to listen and understand the question and develop and deliver clear insights.
• Experience communicating the results of analysis to both technical and non-technical audiences.
• Independent and able to manage and prioritize workload.
• Ability to adapt quickly and positively to change.
• Breadth of technical passion, desire to learn and knowledge services.
• Willingness and ability to travel to meet client if need.
• Ideally, you ll also have.
• Experience working business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
• Ability to communicate clearly and succinctly, adjusts to a variety of styles and audiences with ability to tell compelling stories with the data.
• Experience with C#, VBA, JavaScript, R.
• A vast understanding of key BI trends and the BI vendor landscape.
• Working experience with Agile and/or Scrum methods of delivery.
• Working experience with design led thinking.
• Microsoft Certifications in the Data & AI domain.
• We re interested in passionate leaders with strong vision and a desire to deeply understand the trends at the intersection of business and Data and AI. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
• What we offer.
• We offer a competitive compensation package where you ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you ll decide how much vacation time you need based on your own personal circumstances. You ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You ll be embraced for who you are and empowered to use your voice to help others find theirs.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It s yours to build.
• EY | Building a better working world.
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
• EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.