What You Will Do

Work closely with data science and architecture teams 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 uses cases. 
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.

Required Skills and Abilities

Skills: Python programming, SQL programming, Deep learning frameworks like pytorch and TensorFlow, Knowledge on GPU.
Language: Python, SQL, Kusto (optional).
Tools: Azure, Git (Optional).

At Sembcorp, our shared behaviours underpin our code of conduct and all the work that we do to drive energy transition.

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.

About Us:

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, driven by its purpose to do good and play its part in building a sustainable future.

Headquartered in Singapore, Sembcorp leverages its sector expertise and global track record to deliver innovative solutions that support the energy transition and sustainable development. By focusing on growing its Renewables and Integrated Urban Solutions businesses, it aims to transform its portfolio towards a greener future and be a leading provider of sustainable solutions.

Sembcorp has a balanced energy portfolio of 19.4W, with 11.9GW of gross renewable energy capacity comprising solar, wind and energy storage globally.

The company also has a proven track record of transforming raw land into sustainable urban developments, with a project portfolio spanning over 13,000 hectares across Asia.

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