Computer Vision Engineer

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 this role you will own the full lifecycle of computer vision applicationsfrom designing data pipelines and training state-of-the-art networks for OCR object detection and segmentation to building backend microservices that serve thembridging 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 ).
. 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: Bachelors or Masters 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.

Skills:

• Communication
• Computer Vision
• Docker
• Machine Learning

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.