Ai Ml Engineer

About the Role

We are seeking an experienced AI/ML Engineer to drive data-driven innovation in the renewable energy sector. The ideal candidate will combine strong expertise in machine learning, data modeling, and cloud-based analytics with practical exposure to energy systems, power generation, or sustainability projects.

Key Responsibilities

• Design, build, and deploy machine learning models and data pipelines for predictive and optimization use cases in renewable/energy projects.
• Work closely with data scientists, energy analysts, and domain experts to translate business problems into scalable ML solutions.
• Analyze large datasets (SCADA, IoT, and sensor data) to uncover patterns improving operational efficiency and forecasting energy output.
• Develop algorithms for energy demand forecasting, load optimization, and equipment performance analysis.
• Implement and manage ML workflows using

  Azure ML, Databricks, or AWS SageMaker

  .
• Integrate AI/ML solutions into production systems via MLOps frameworks, ensuring performance and reliability.
• Continuously evaluate model accuracy and maintain versioned deployment pipelines.

Required Skills & Experience

• 5+ years of experience in AI/ML development, data science, or applied analytics.
• Strong programming skills in

  Python

  (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
• Hands-on experience with

  Azure Databricks

  ,

  Azure ML

  , or

  AWS ML services

  .
• Prior experience in

  energy, utilities, or renewable energy domain

  (solar, wind, grid optimization, etc.) is

  mandatory

  .
• Familiarity with

  data visualization tools

  (Power BI, Tableau) and

  SQL/NoSQL databases

  .
• Understanding of

  MLOps tools

  like

  MLFlow

  ,

  Docker

  ,

  Kubernetes

  , and

  CI/CD pipelines

  .
• Excellent problem-solving, analytical thinking, and communication skills.