Data Scientist/AI Developer

7 days ago

Mumbai, Maharashtra, India SolarSquare Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:
Data Scientist – Computer Vision & Generative AI

Location:
Mumbai

Experience Level:
3 to 4 years

Employment Type:
Full-time

Industry:
Renewable Energy / Solar Services

Job Overview:

We are seeking a talented and motivated
Data Scientist
with a strong focus on
computer vision, generative AI, and machine learning
to join our growing team in the solar services sector. You will play a pivotal role in building AI-driven solutions that transform how solar infrastructure is analyzed, monitored, and optimized using image-based intelligence.

From drone and satellite imagery to on-ground inspection photos, your work will enable intelligent automation, predictive analytics, and visual understanding in critical areas like fault detection, panel degradation, site monitoring, and more. If you're passionate about working at the cutting edge of AI for real-world sustainability impact, we'd love to hear from you.

Key Responsibilities:

  • Design, develop, and deploy
    computer vision models
    for tasks such as object detection, classification, segmentation, anomaly detection, etc.
  • Work with
    generative AI
    techniques (e.g., GANs, diffusion models) to simulate environmental conditions, enhance datasets, or create synthetic training data.
  • Build ML pipelines for end-to-end model training, validation, and deployment using
    Python
    and modern ML frameworks.
  • Analyze
    drone, satellite, and on-site images
    to extract meaningful insights for solar panel performance, wear-and-tear detection, and layout optimization.
  • Collaborate with cross-functional teams (engineering, field ops, product) to understand business needs and translate them into scalable AI solutions.
  • Continuously experiment with the latest models, frameworks, and techniques to improve model performance and robustness.
  • Optimize image pipelines for performance, scalability, and edge/cloud deployment.

Key Requirements:

  • 3–4 years
    of hands-on experience in data science, with a strong portfolio of computer vision and ML projects.
  • Proven expertise in
    Python
    and common data science libraries: NumPy, Pandas, Scikit-learn, etc.
  • Proficiency with image-based AI frameworks:
    OpenCV
    ,
    PyTorch
    or
    TensorFlow
    ,
    Detectron2
    ,
    YOLOv5/v8
    ,
    MMDetection
    , etc.
  • Experience with
    generative AI models
    like
    GANs
    ,
    Stable Diffusion
    , or
    ControlNet
    for image generation or augmentation.
  • Experience building and deploying ML models using
    MLflow
    ,
    TorchServe
    , or
    TensorFlow Serving
    .
  • Familiarity with
    image annotation tools
    (e.g., CVAT, Labelbox), and
    data versioning tools
    (e.g., DVC).
  • Experience with cloud platforms (
    AWS
    ,
    GCP
    , or
    Azure
    ) for storage, training, or model deployment.
  • Experience with
    Docker
    ,
    Git
    , and CI/CD pipelines for reproducible ML workflows.
  • Ability to write clean, modular code and a solid understanding of software engineering best practices in AI/ML projects.
  • Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment.

Bonus / Preferred Skills:

  • Experience with
    remote sensing
    and working with satellite or drone imagery.
  • Exposure to
    MLOps
    practices and tools like
    Kubeflow
    ,
    Airflow
    , or
    SageMaker Pipelines
    .
  • Knowledge of solar technologies, photovoltaic systems, or renewable energy is a plus.
  • Familiarity with
    edge computing
    for vision applications on IoT devices or drones.

Application Instructions:

Please submit your resume, portfolio (GitHub, blog, or project links), and a short cover letter explaining why you're interested in this role to or

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