Lead AI research to develop advanced machine learning and deep learning models that drive sustainable, data‑driven decision making for industrial and energy applications.
About the role
Key Responsibilities
Design, develop, and prototype state‑of‑the‑art machine learning and deep learning algorithms for industrial optimization and decarbonization.
Collaborate with domain experts to translate manufacturing and energy data into actionable AI solutions.
Implement scalable model pipelines on cloud platforms, ensuring performance, reliability, and security.
Publish research findings in top conferences and translate insights into product‑ready features.
Mentor junior researchers and contribute to the AI Hub’s strategic roadmap.
Requirements
Ph.D. or equivalent experience in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.
Strong programming skills in Python and hands‑on experience with TensorFlow or PyTorch.
Proven track record of developing and deploying machine learning/deep learning models in production, preferably on AWS.
Expertise in data preprocessing, model evaluation, and optimization for large‑scale industrial datasets.
Excellent problem‑solving abilities and ability to work cross‑functionally with engineering and domain teams.