Data Scientist / AI Developer

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 :

Bonus / Preferred Skills :

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