5 - 9 years

16 - 17 Lacs

Posted:22 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

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.

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