Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.
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.