Senior Data Scientist

• Design and develop end-to-end computer vision pipelines for real-world applications.
• Apply and optimize traditional computer vision algorithms:
• Image processing, feature extraction, geometric transformations, tracking, and calibration
• Perform advanced feature engineering:
• Extract meaningful visual features (texture, shape, color, spatial features)
• Combine handcrafted features with deep learning embeddings
• Improve model performance through feature selection and transformation techniques
• Build and deploy deep learning models for:
• Object Detection
• Instance and Semantic Segmentation
• Develop and integrate Agentic AI systems that:
• Enable autonomous reasoning and decision-making
• Orchestrate multi-step workflows
• Integrate with external tools and APIs
• Optimize models for performance, scalability, and edge deployment.
• Lead model evaluation, experimentation, and continuous improvement.
• Collaborate with cross-functional teams across engineering, product, and business.
• Mentor junior team members and contribute to architectural decisions.

We are looking for a highly skilled Senior Data Scientist specializing in Computer Vision to lead the design, development, and deployment of advanced vision-based AI systems. The ideal candidate will have deep expertise in traditional computer vision, feature engineering, and modern deep learning techniques, along with hands-on experience in building Agentic AI systems for intelligent decision-making., * Experience: 6-8 Years (B.Tech), 4-6 Years (M.Tech) in Data Science / Computer Vision / AI roles

Core Technical Skills

• Strong expertise in traditional computer vision:
• Image filtering, edge detection, morphology, feature matching, object tracking
• Strong experience in feature engineering for vision tasks
• Deep expertise in deep learning for vision:
• Object Detection, Semantic Segmentation, and Instance Segmentation
• Hands-on experience with:
• PyTorch / TensorFlow / OpenCV / Onnx
• Strong programming skills in Python

Agentic AI Expertise

• Experience in designing Agent-based AI systems using LLMs
• Familiarity with:
• Tool usage, planning, memory, and orchestration frameworks
• LangChain, AutoGen, or similar ecosystems
• Ability to combine vision models with LLMs for intelligent workflows

Preferred Qualifications

• Experience with Vision-Language Models (VLMs) and multimodal systems
• Knowledge of MLOps / model lifecycle management (MLflow, Azure ML, etc.)
• Experience in real-time or edge AI systems
• Domain experience in:
• Automotive, Insurance, Retail, Manufacturing, or Surveillance
• Familiarity with cloud platforms (Azure, AWS, GCP)