The role involves leading the design, development, and deployment of advanced machine learning and generative AI solutions to accelerate reliable and sustainable energy
Job Summary
The role involves leading the design, development, and deployment of advanced machine learning and generative AI solutions to accelerate reliable and sustainable energy.
Candidates will establish architectural standards and best practices while building modular microservices infrastructure with containerization and orchestration capabilities.
This position requires collaborating with cross-functional teams to integrate AI/ML capabilities into existing platforms and developing new intelligent business efficiency solutions.
Matching Summary
The role involves leading the design, development, and deployment of advanced machine learning and generative AI solutions to accelerate reliable and sustainable energy.
Skills & Requirements
Must-have
7+ years software engineering experience
Machine learning framework expertise
Generative AI technology knowledge
Cloud-native deployment strategies
MLOps and CI/CD pipeline implementation
Nice-to-have
Power system simulation tools proficiency
Grid automation domain knowledge
Edge computing and IoT experience
Time-series analysis skills
Research-to-production translation ability
Key Requirements
Bachelor's degree in Computer Science or related field
Minimum 7 years of hands-on experience
Experience with TensorFlow, PyTorch, or Scikit-learn
Proficiency in Python, C#, or C++ programming
Knowledge of AWS Sagemaker, Azure ML, or Google VertexAI