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

Shaurya Technosoft; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Shaurya Technosoft in Pune seeks an experienced Lead AI/ML Engineer or Data Scientist with strong GIS and/or image processing expertise to architect and drive AI initiatives. You will lead a team of engineers and data scientists, set technical direction, and deliver scalable, production-grade solutions for image and geospatial intelligence applications.

The candidate will guide a team, collaborate with product managers and domain experts, and ensure robust model performance, deployment, and

Qualifications

• Bachelor's or Master's degree in Computer Science, Geoinformatics or related fields.
• PhD is a plus.

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 to 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 and stakeholders.
• Review and improve model performance, scalability, and robustness through evaluation and tuning.
• Ensure best practices in coding, model management, MLOps, and documentation; stay updated with AI, GIS, and image analytics trends.

Skills

Python

TensorFlow

PyTorch

OpenCV

scikit-image

PIL

Geospatial data processing

Education

Bachelor's or Master's in Computer Science / Geoinformatics

PhD (nice to have)

Tools

QGIS

GDAL

Geopandas

ArcGIS

rasterio

Docker

Kubernetes

AWS

GCP

Azure

Job description

Job Title

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

Location

Pune

Experience:

4+ Years

Employment Type

Full-Time

About Us:

We are a fast-growing technology-driven organization building next-generation solutions using Articial Intelligence, Machine Learning, and Geospatial technologies. We work across domains such as environmental intelligence, infrastructure monitoring, and advanced visual analytics. If you're passionate about applying AI to geospatial and image-based challenges, wed love to have you lead the way.

Job Summary:

We are looking for a 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, dene 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 Qualications:

• Bachelors or Masters degree in Computer Science, Geoinformatics or related elds.
• PhD is a plus.
• 6+ years of experience in AI/ML or Data Science roles with a strong focus on image processing or GIS.
• Procient 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 (Nice to Have):

• 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 workows.
• Familiarity with MLOps practices and tools like MLow, Airow, or Kubeow.
• Exposure to data privacy, ethical AI, and regulatory compliance in geospatial applications.