Position Description
Skill: Computer Vision Engineer
Location: Pune Hybrid
Job Description:
We are looking for a Computer Vision Engineer to build end-to-end visual intelligence systems. In this role, you will own the full lifecycle of computer vision applications—from designing data pipelines and training state-of-the-art networks for OCR, object detection, and segmentation, to building backend microservices that serve them—bridging the gap between AI research and production software.
Key Responsibilities
Computer Vision & Machine Learning
- Build and iterate on deep learning-based computer vision models for real-world imagery (OCR/STR, detection, segmentation, and tracking).
- Own dataset preparation and data pipelines (collection, cleaning, augmentation, and evaluation).
- Select and apply appropriate architectures (e.g., CNNs, Vision Transformers) and establish metrics-driven experimentation.
- Apply advanced 3D vision techniques where relevant, including 3D reconstruction (COLMAP), NeRFs, and Gaussian Splatting.
Software Engineering & Backend
- Architect and deploy scalable, low-latency ML microservices by serving computer vision models via robust REST or gRPC APIs (e.g., FastAPI, Triton Inference Server, or Node.js).
- Design and optimize high-throughput, hardware-accelerated video streaming and frame-extraction pipelines using OpenCV, FFmpeg, and GStreamer to ensure real-time processing.
Deployment & MLOps
- Optimize trained models for inference speed, throughput, and memory footprint using runtimes such as TensorRT, ONNX Runtime, CoreML, or MLX.
- Containerize and orchestrate model serving and supporting services using Docker and Kubernetes (or cloud-native serverless), with efficient GPU scheduling and edge hardware utilization.
- Build CI/CD pipelines for model retraining, testing, versioning, and production rollout, including monitoring and rollback strategies.
- Deploy and optimize computer vision systems for edge devices and resource-constrained environments.
Required Qualifications
- Education & experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field; 3+ years of experience shipping ML/CV products.
- Programming: Strong proficiency in Python; experience with at least one systems or backend language (e.g., C++, TypeScript, Swift, or Rust).
- ML/CV stack: Deep expertise in PyTorch or TensorFlow; experience with OpenCV.
- Backend & cloud: Experience building web services, managing API integrations, and designing cloud architectures on AWS, GCP, or Azure.
- MLOps: Experience with Git, Docker, and experiment/model tracking tools (e.g., MLflow, Weights & Biases).
Preferred Qualifications
- Experience deploying computer vision models to NVIDIA Jetson, Apple Silicon and mobile platforms (iOS/CoreML).
- Experience integrating Vision-Language Models (VLMs) and building agentic AI systems that leverage visual inputs.
Your future duties and responsibilities
Required Qualifications To Be Successful In This Role
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
