Data Scientist/AI Developer

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Job Overview:

Data Scientist

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 khushboo.b@solarsquare.in or sidhant.c@solarsquare.in