Singapore Job Openings
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Sembcorp Industries
Machine Learning Ops and Data Engineering Intern [Jan 2025]
Singapore
October 15, 2024
Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.
Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.
Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.
Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, i Edge SG ESG indices and several MSCI ESG indices.
For more information, please visit www.sembcorp.com.
At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:
- Institution-first Mindset – Put the interest of the Group ahead of individual interests.
- Collaboration – Deliver through collaborating across markets, businesses and functions.
- Accountability – Hold team and self accountable to deliver on our commitments.
Key Roles and Responsibilities
- Work closely with data science and architecture team to deliver impactful solutions for the Renewables and Utilities space.
- Work with a wide variety of Big Data and Cloud resources .
- Developing retraining pipeline framework and ML monitoring system along with Data Scientists and Data Engineers
- Contribute to a team that focuses on deployment/architecture of state of the art Machine Learning models and dashboards for AI usescases.
- The role entails a larger focus on Machine Learning Ops, data engineering, data-driven automation,data analysis and ML implementation .
- Other key responsibilities will include managing and maintaining Data science and Data engineering pipelines in production systems.
- The projects are focused on Self-Supervised ML, smart-grids, Intelligent monitoring systems , MLOps Platforms on cloud, ML system design.
Qualification, Skills and Experience
Skills: Python programming, SQL programming , Deep learning frameworks like pytorch and tensorflow, Knowledge on GPU
Language: Python, SQL, Kusto (optional)
Tools: Azure, Git (Optional)
Working Location: 30 Hill Street Singapore 179360
Only shortlisted candidates will be notified.
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