AI/ML Engineer

Job Title: Lead AI/ML Engineer / Data Scientist (GIS & Image Processing)

Location: Pune

Experience: 4+ Years

Employment Type: Full-Time

Highly motivated and experienced Lead AI/ML Engineer or Data Scientist with deep expertise in GIS and/or Image Processing to architect and drive our AI initiatives. You will lead a team of engineers and data scientists, define technical direction, and deliver scalable, production-grade solutions for image and geospatial intelligence applications.

Key Responsibilities:

• Lead the design, development, and deployment of AI/ML models for image and geospatial data processing.
• Architect end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring.
• Work hands-on with geospatial datasets (satellite imagery, drone data, maps) and apply advanced image processing and computer vision techniques.
• Guide and mentor a team of junior and mid-level engineers/data scientists.
• Collaborate with product managers, domain experts, and stakeholders to align technical solutions with business goals.
• Review and improve model performance, scalability, and robustness through continuous evaluation and tuning.
• Ensure best practices in coding, model management, MLOps, and documentation.
• Stay up to date with the latest trends in AI, GIS, and image analytics, and bring innovative ideas into the team.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Geoinformatics or related fields. PhD is a plus.
• 6+ years of experience in AI/ML or Data Science roles with a strong focus on image processing or GIS.
• Proficient in Python, ML/DL frameworks (TensorFlow, PyTorch), and image processing libraries (OpenCV, scikit-image, PIL).
• Hands-on experience with geospatial tools and libraries (QGIS, GDAL, Geopandas, ArcGIS, rasterio).
• Proven track record in leading AI/ML projects and delivering production-grade systems.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Strong understanding of geospatial data formats, coordinate systems, and remote sensing concepts.

Preferred Skills :

• Experience with deep learning models for segmentation (e.g., UNet, Mask R-CNN) or object detection (YOLO, Faster R-CNN).
• Knowledge of satellite/drone data sources and preprocessing workflows.
• Familiarity with MLOps practices and tools like MLflow, Airflow, or Kubeflow.
• Exposure to data privacy, ethical AI, and regulatory compliance in geospatial applications.

Job Types: Full-time, Permanent

Pay: ₹1,000,000.00 - ₹1,400,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift

Experience:

• AI/ML: 6 years (Preferred)

Work Location: In person