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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Finance, Energetic
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Own the product from concept to design, specification, implementation, and analysis.
- Gather and synthesize requirements and input from multiple stakeholders (internal product teams, engineers, business teams, marketing, finance, etc.).
- Lead in-person conversations with internal customers to understand users, priorities, and feature considerations.
- Demonstrate strong leadership, organizational and execution skills, to drive product development projects from concept to launch, and operate in a fast- paced setting.
- Excellent leadership and communication skills. Expected to be asking questions, listening, driving team alignment, and influencing without authority across all levels of the organization.
- Bridge business and technical worlds very well, a good conceptual problem solver to articulate opportunities and solutions Internal.
- Technical confidence. You'll need to work with senior engineers to balance product velocity and technical debt tradeoffs.
- What You'll Need to Succeed.
- 5+ years of technical experience in ML engineering, Data Scientist, Data Analytics, or related role.
- 2+ years of technical program/product management experience in a fast-paced environment.
- Excellent interpersonal skills, energetic, and a self-starter.
- Excellent presentation skills.
- Strong organizational skills along with demonstrated ability to manage multiple tasks simultaneously and able to react to shifting priorities to meet business need.
- Effective communicator (written and verbal). Able to communicate effectively with both business and technical teams.
- Demonstrated analytical and quantitative skills. You use data to make decisions and are comfortable gathering it yourself or working with others to gather it.
- Hands-on experience with product management tools (JIRA etc).
- A problem-solving mindset.
- Strong technical background in the Data Science and ML world.
- The ability and positive mindset to "figure things out.".
- This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
āļāļąāļāļĐāļ°:
Sales, Microsoft Office, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop VM assortment and pricing strategy and execution to drive and achieve KPI, sales target, and customers growth.
- Work closely with vending machines operators for assortment testing, preparation, selection and price set up.
- Analyze, monitor and do sales report performance of VM business by unit, by clusters, by stores formats on a timely basis and recommend how to improve sales of each location.
- Select, manage product assortment and do planogram planning including stock management for each vending machine and do pricing strategy by locations to best serve customers needs to increase sales, transactions, and traffics.
- Provide assortment list and price included product photos for vending machine provider to upload in the system by each vending machine.
- Plan and sell the planogram space or media content to key FMCG suppliers.
- Coordinate with cross-functions to deliver projects within the timeline.
- Monitor and manage the payment / collection PR PO process to vending machine operators and other parties.
- Handle business case/feasibility study /complaint cases.
- Oversee ad-hoc assignments to ensure the tasks are completed per the stated objectives within a timely manner.
- Brief requirement to BI, POS team or vending machine operator team to develop the sales report.
- Bachelor s or Master s Degree in Business Administration or any related fields.
- Experience in Merchandising/items/stock/brands & suppliers management or as a buyer esp. grocery products, vending machines or retail business is preferable.
- Experience working collaborative environment, drive to success and interpersonal skills.
- Able to handle multi-tasks/projects, work under pressure and meeting timeline.
- Able to use Microsoft office esp. Excel (Pivot Table, V Lookup, etc.) and Power Point.
- Good command of English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
8 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Compliance, Procurement, Automation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Supervise all activities of the machine design team.
- Plan and direct all aspects of engineering activities related to design and development of Dextra machines (site equipment).
- Coordinate and treat Product Developments (PDRs), and prototype evaluations to deliver new site equipment products and versions to the market in compliance with defined safety, quality and productivity specifications.
- Prepare product specifications, conduct technical review of subcontracted projects and coordinate with suppliers.
- Train production, Engineering and After Sales teams regarding implementation, qualification, and commissioning of new site equipment.
- Coordinate obsoletion of key equipment components (e.g. electrical, mechanical, hydraulic) of Dextra site equipment with the continuous improvement team by following the obsoletion tracking, equipment modifications and deployment in coordination with Procurement and Planning departments.
- Define and propose solutions for new site equipment under consideration of internal and external expectations.
- Perform reviews of work packages completed by the design team by organizing their project and task workloads.
- Coordinate activities and assignment of electrical and automation engineers to support the activities of the site equipment continuous improvement team.
- Facilitate efficient and effective cross discipline working within Dextra (production, design, supply chain, after sales ).
- Ensure with QHSE that new developments of machines comply with international and regional requirements (e.g. EU machinery directive EC2006/42/EC, UKCA and CSA).
- Keep abreast of latest technologies in the field of mechanical and electrical engineering.
- Ensure requirements, specifications, standards, and legislation are available to the team and applied.
- Advise and instruct team members in the performance of their job responsibilities.
- Ensure machine drawings, BOM and related documents are up to date.
- Conduct regular performance reviews and evaluation with subordinates.
- Perform all other duties assigned.
- QUALIFICATIONS REQUIREMENTS:Bachelor or Master s degree in Mechatronics engineering, mechanical engineering or equivalent.
- 8+ years of relevant experience in an engineering role (design, fabrication, or maintenance of industrial equipment).
- Experience working in similar senior engineer role, leading technical teams toward successful product delivery.
- Very good command of English.
- Can understand the main ideas of complex text on both concrete and abstract topics, including technical discussions in his/her field of specialization.
- Can interact with a degree of fluency and spontaneity that makes regular interaction with native speakers quite possible without strain for either party.
- Can produce clear, detailed text on a wide range of subjects and explain a viewpoint on a topical issue giving the advantages and disadvantages of various options.
- Knowledge of Solidworks / Solidworks PDM, CAD application (Solidworks preferrable),.
- Knowledge of ERP such as AX for BOM management is a plus.
- Knowledge of PLC & HMI program reading is a plus.
- Knowledge of Microsoft Office.
- Good knowledge of international and national machine safety standards/requirements.
- Good Knowledge of machinery design and problem analysis.
- Good knowledge of machine fabrication method.
- Self-initiative, enthusiasm.
- 1
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2024
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