Computer Vision Engineer

Immediate opening for "Computer Vision Engineer"

Location:

Experience Required:

Role Snapshot

Key Responsibilities

• Research & prototype

  Computer Vision algorithms (anomaly detection, object detection, tracking, segmentation).
• Create end to end image processing and computer vision pipelines.

• Train, finetune, and optimise

  CNN/Transformer models in PyTorch or TensorFlow.

• Package and deploy

  models to cloud or edge environments with Docker/Kubernetes.

• Automate data pipelines

  for image/video collection, augmentation, and annotation.

• Monitor model performance

  in production; drive continuous improvement.

• Document findings

  and

  present results

  to technical and nontechnical stakeholders.

MustHave Skills

• 3–5yrs building

  computervision

  solutions in production.
• Strong grasp of Computer Vision and

  Deep Learning

  concepts (CNNs, Vision Transformers like YOLO).
• Proficiency with

  PyTorch/TensorFlow

  ,

  OpenCV

  , and

  Python

  .
• Experience deploying models via

  REST/GRPC APIs

  or ondevice.

• Excellent written and verbal communication

  ; able to explain complex ideas simply.

NicetoHave

• Knowledge of

  CUDA

  , TensorRT, or other inferencetime optimisers.
• Experience with

  AWS/GCP

  ML services, streaming data (Kafka, Kinesis).
• Experience with Agentic AI implementation
• Familiarity with

  MLOps

  best practices (CI/CD, model versioning).