Job Title: AI Engineer Computer Vision (Onsite)

Location: Adyar, Chennai

Duration: Full Time

Experience: 2 3 yrs

Role Overview As an AI Engineer, youll lead the design, development, and deployment of advanced computer vision models for human motion understanding and video analytics. You'll work across the full lifecycle of AI development from data pipelines to inference optimization helping ship features that power our next-generation fitness intelligence systems.

Key Responsibilities
Own the end-to-end lifecycle of computer vision models: from experimentation to deployment and monitoring.
Build and optimize deep learning models:

I Pose estimation and skeleton tracking

II Activity recognition and classification

III Posture correction and rep counting
Apply transfer learning, fine-tuning, and knowledge distillation techniques for performance and generalization.
Design scalable pipelines for video data ingestion, annotation, preprocessing, and augmentation.
Integrate AI modules into cloud-based (Azure/AWS)



environments using REST APIs or microservices.
Optimize model inference using ONNX, TensorRT, and quantization strategies for real-time or edge deployment.
Collaborate cross-functionally with product, design, and frontend/backend teams to align on deliverables and timelines.
Stay up to date with the latest in vision research and evaluate current techniques for production integration.

Required Skills
Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or related discipline.
2+ years of experience building and deploying computer vision models in production environments.
Proficient in Python, with deep experience in PyTorch and/or TensorFlow.
Hands-on expertise in models such as: a. YOLOv5/YOLOv8 b. Vision Transformers
Experience working with pose estimation frameworks (Mediapipe, OpenPose, Detectron2).
Solid understanding of camera calibration, 3D geometry, and real-time motion tracking.

📌 Ai Engineer Computer Vision Chennai
🏢 LevelShift
📍 Chennai