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Job type:

Internship

• Department/ Office: Economic and Social Commission for Asia and the PacificDuty Station: BANGKOKPosting Period: 8 August 2024-22 August 2024Job Opening number: 24-ESCAP-240415-V-BANGKOKStaffing Exercise ID: N/AUnited Nations Core Values: Integrity, Professionalism, Respect for Diversity
• Work Location
• Bangkok, Thailand
• Expected duration
• 3-6 months
• Org. Setting and Reporting
• The Environment and Development Division, Sustainable Urban Development Section internship is for a minimum period of 3 months with an opportunity for extension up to 6 months, if required by the division.
• The internship is UNPAID and full-time. Interns work five days per week (35 hours) under the supervision of a staff member in the department or office to which they are assigned.
• The Sustainable Urban Development Section works with member States and key stakeholders to promote sustainable and inclusive urban development in Asia and the Pacific through a programme of work focused on: (i) developing and disseminating knowledge products that foster enhanced awareness and informed decision-making; (ii) providing technical assistance and supporting capacity development; (iii) strengthening intergovernmental processes; and (iv) networking and partnership development, among others.
• Daily responsibilities will depend on the individual s background and the intern s assigned office as well as the internship period.
• Duties may include, but are not limited to:
• Provide succinct analysis of current and emerging issues and trends of urban development processes in the Asia-Pacific region (30%)
• Conduct research and identify case studies on urban policies and programmes and their impact on inclusive, sustainable and resilient development in the Asia-Pacific region (30%)
• Assist with various tasks linked to organizational and substantive dimensions of programme and project implementation (20%)
• If applicable, provide support to organize and conduct meetings relevant to the work of the section, including the drafting of documents, preparation for and backstopping of Intergovernmental meetings, and follow-up activities (10%)
• Participate in day-to-day operational tasks of the Section, such as servicing requests for information, support for developing presentations, updating of web pages on the section s work etc. (10%)
• To qualify for an internship with the United Nations Internship Programme, applicants must, at the time of application, meet one of the following requirements:
• (a) Be enrolled in, or have completed, a graduate school programme (second university degree or equivalent, or higher); or,
• (b) Be enrolled in, or have completed, the final academic year of a first university degree programme (minimum bachelor s level or equivalent).
• Languages
• English and French are the working languages of the United Nations Secretariat. Fluency in spoken and written English is required for the Internship Programme. Knowledge of another official UN language is an asset.
• Additional InformationIntern Specific text
• Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer.
• No Fee
• THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS BANK ACCOUNTS.

Experience:

No experience required

Skills:

Content Creator, Creative Writing, English

Job type:

Full-time

• ผลิตและสร้างสรรค์คอนเทนต์ทั้งในรูปแบบของงานเขียน และวิดีโอ ตามภารกิจข่าวที่ได้รับมอบหมาย เช่น สกู๊ปข่าว ถ่ายทอดสดพิเศษ และอื่นๆ ที่ได้รับมอบหมาย.
• ลงพื้นที่ภาคสนาม ถ่ายทอดสด เปิดหน้ารายงานข่าว ประเมินสถานการณ์ และแก้ไขปัญหาเฉพาะหน้าได้ทันท่วงที.
• ประสานงานภายในทีมที่รับผิดชอบโปรเจกต์หรือคอนเทนต์ต่างๆ ตามที่ทีมได้รับมอบหมายได้.
• เรียบเรียง ตรวจสอบ ปรับปรุง คุณภาพและความถูกต้องของคอนเทนต์ที่รับผิดชอบ ก่อนส่งให้บรรณาธิการตรวจและอนุมัติขั้นสุดท้าย.
• ประสานงานกับแหล่งข่าว และสร้างเครือข่ายกับแหล่งข่าวในคอนเทนต์ที่รับผิดชอบ.
• ติดตามและสังเกต (Monitor) คอนเทนต์ที่ได้รับมอบหมาย และออกแบบรูปแบบและวิธีการนำเสนอเนื้อหา.
• ปริญญาตรี ไม่จำกัดสาขา.
• มีความรู้ ความเข้าใจ และสามารถผลิตข่าวทั้งในรูปแบบของข้อความ ภาพ เสียง และวิดีโอ.
• มีความรู้ ความสามารถ ในการวิเคราะห์ประเด็นและสถานการณ์ต่างๆ.
• มีความรู้ ความถนัด และความเชี่ยวชาญ ในประเด็นข่าวที่รับผิดชอบ เข้าใจประเด็นในเชิงสังคม (การศึกษา เมือง และอื่นๆ) และสถานการณ์เกี่ยวกับประเด็นสิ่งแวดล้อม.
• มีความรู้ ความเข้าใจผู้ชม เพื่อออกแบบและพัฒนาการนำเสนอข่าวรูปแบบใหม่.
• หากมีประสบการณ์ด้านงานข่าวจะได้รับการพิจารณาเป็นพิเศษ.

Experience:

2 years required

Skills:

Statistical Analysis, Data Analysis, English

Job type:

Full-time

• Understanding of business problems forgathering/analyzing/designing the data to solve the problems from end-to-end process.
• Excellent in written and verbal communication skills for coordinating across teams.
• Analyze large amounts of information to discover trends and patterns.
• Lead the analytics group in management of projects and experiment designing, implementing innovative Predictive Models, implementing innovative analytic solutions or driving outstanding results.
• Proficient in common data science toolkits (R, Python) and using SQL languages.
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• At least 2-3 year in Business Intelligence/Data Analytic.
• Proficiency in statistical analysis, quantitative analytic, forecasting/predictive analytic, experimental design and optimization algorithms.
• Technical expertise regarding data modeling, data mining, segmentation techniques, unstructured data skills, and other data science.
• Programming skills in big data frameworks and statistical modeling such as SAS, R, and Python, CE Techniques.
• Experience in data visualization tools.
• Knowledge/experience in machine learning.
• Domain knowledge of mobile, network and telecommunication technology and services would be advantageous.

Experience:

3 years required

Skills:

Data Analysis, Database Development, English

Job type:

Full-time

• Brainstorm with Business User and Data Analyst to propose practical AI/ML solution for solving business problems.
• Translate problem statement into requirements and action plans.
• Adopt agile development approach to deliver prompt solutions phase by phase.
• Conduct EDA and feature engineering from both raw and aggregate data sources.
• Maintain, enrich, and expand AI ready data.
• Develop quantitative AI/ML models to solve estimation, prediction, or optimization problems.
• Work with experienced business experts to develop heuristic models to handle cold start or insufficient data situations.
• Design complete AI score validation framework throughout the ML life cycle.
• Measure model performance and monitor feature shifting in production environment.
• Build AI/ML-related dashboards, including model monitoring and feature monitoring.
• Work with ML Engineers or Data Engineers to optimize end-to-end ML operations.
• Collaborate with Data Analysts to perform pre- and post-model usage campaign analysis or Dashboard.
• Present project and collaborate with Business User to design action strategy.
• Job Qualifications:
• Minimum of 3 years of data field working experiences and at least 1-year hands-on modeling experiences.
• Strong English skill as working language.
• Proficient in Python, SQL, Excel.
• Good at Visualization tool such as Tableau, and Powerpoint.
• Strong analytical thinking and creative thinking.
• Good at communication skill, teamwork.
• Independently work on end-to-end ML process.
• Solid record of successful model development with business impact in production.
• Preferred Past Experiences or Knowledge (any of the followings):
• Fintech, big tech or banking industry.
• Real time AI/ML model deployment experiences.
• Cloud computing.
• Gen AI knowledge and experiences.

Skills:

ETL, Teamwork, Electrical Engineering, English

Job type:

Full-time

• Develop a framework for a streamlined big data insight process that covers ETL, model development, and model deployment under production environment.
• Work closely with R&D engineering subject matter experts to develop data analytics pipelines, workflows, processes and applications.
• About you:
• Passionate about big data with AI/ML applications.
• Ability to work independently with proven problem-solving skills and an out-of-box thinking mindset is highly desirable.
• Good communication and R&D teamwork skills needed in collaborative cross-functional team environment.
• Proficiency in English writing/speaking/presentation.
• Your experience includes:
• Bachelor or higher degree with related experience. Electrical Engineering, Computer Science, Computer Engineering, Mechanical Engineering or Physics are preferred.
• Knowledge and experience with Python-based big data (log data, image data, time series data and tabulated data) pipelines, processes, data application and visualization.
• Experience with database query (Oracle SQL, MySQL).
• Experience with data science & machine learning python programming, model development.
• Experience with JMP-based data analysis and applications is a plus.
• Experience with API microservice architecture, docker, and Kubernetes is highly desirable.
• Experience with Linux OS, terminal command lines and data pipeline backend is a plus.
• Development of web user interface and backend service.
• Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate s parents and caregivers group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
• Location: Teparuk Thailand
• Travel: None.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• 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.

Job type:

Full-time

• Prefer 3-5 yrs experience in the related environmental fields.
• EDUCATION (FOR RECRUITMENT).
• Bachelor in Chemistry, Chemical Engineering or Environmental Science/Engineering.
• OTHER REQUIREMENTS (FOR RECRUITMENT).
• ROLE & RESPONSIBILITY (FOR RECRUITMENT).
• To ensure timely advice and give the technical supports for operation staffs about efficiency and effective operating of the environmental impact such as the issues of the air pollution, wastewater pollution, industrial waste management system, etc. Including training, assessments, monitoring and recommend the good practices for continuous improvement. To organize, audit, analyst, coordinate, improve and report environmental performance to internal and external clients and regulatory bodies in order to comply with the environmental legislation and environmental sustainability development programs. Set up, develop, apply and implement environmental for sustainability management systems such as ISO14001, ISO26001, GRI, DJSI, CDM, CSR, etc., in order to follows TOP Group Sustainability Development Roadmap. To promote and raising awareness, at all levels of an organisation, of the impact of emerging environmental issues, whether legislative or best practice. To participate and dealing with Oil&Gas companies, government officials, local authorities and the communities with all environmental matters concerning issues. To implement and coordinate action plans / mitigation / projects follow Environmental Master Plan for ensuring the environmental licient to operate and sustainability development.

Skills:

Social media, Statistics, SQL, English

Job type:

Full-time

• Set, define, and own the data science roadmap.
• Build, maintain, and enhance Manatal core features focus onCV/Resume parsing in multiple languages.
• Candidate recommendation engine.
• Social media enrichment for candidates.
• Independently manage each part of a project life cycle, including ad-hoc exploration, preparation of training data, model development, and production deployment.
• Design, prototype, and implement solutions across several domains.
• Help define and implement a framework of continual innovation.
• Partner with engineers to develop ML projects, and maintain high system availability and reliability.
• BA/BS in Mathematics, Statistics, or Computer Science is required or a Master's degree in a quantitative scientific discipline is strongly desired.
• Advanced statistical modelling skillset.
• Advanced SQL querying, data mining, and data cleaning skillset.
• Excellent knowledge of Python, including common scientific computing packages and data science tools such as NumPy, Pandas, NLP libraries, Tensorflow and Scikit-learn.
• Good knowledge of supervised and unsupervised machine learning algorithms (neural networks, decisions, trees, etc.).
• Advanced knowledge of experiment design.
• Hands-on experience with cloud infrastructure tools (AWS, EC2, S3, Lambda, Data Engineering).
• Advanced visualization/reporting and presentation experience.
• Version Control Experience (GitHub).
• Knowledge of web applications and service-oriented architecture.
• Excellent strategic project planning skillset.
• Excellent communication skills (written and verbal).
• Experience at a B2B SaaS company is a plus.
• Working with Manatal.
• This role is based at our Bangkok office in the heart of the city center.
• As a team of diverse cultures and nationalities, English language proficiency is required.
• We enjoy collaborating in person and the team is working on-site.
• Why you'll enjoy working with Manatal.
• Well-funded start-up backed by Surge & Sequoia.
• Be part of one of the fastest-growing B2B SaaS start-ups in the region.
• You will be collaborating with talented individuals in the industry.
• Join a lively and highly international team.
• Indulge in a challenging and innovative working culture.
• Attractive medical healthcare plan.
• Personal development allowance.
• 2 weeks of work from anywhere per year.
• Regular fun team-building activities.
• Company trip.
• Our Tech Stack.
• Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack.
• Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions.
• Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ among others.
• Frontend: Javascript & Vue.JS.
• Apply on our Careers Page
• If you are a fit for this role and excited to join Manatal, please follow this link to apply https://www.careers-page.com/m.
• Watch our Demo
• https://www.youtube.com/watch?v=-GG1GqXkAKQ
• https://www.youtube.com/watch?v=VjinpYMUMoc.
• Manatal Hiring
• At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process.
• We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.