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Urgent! Data Scientist/AI Developer Job Opening In New Delhi – Now Hiring SolarSquare

Data Scientist/AI Developer



Job description

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


Required Skill Profession

Mathematical Science Occupations



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