Machine Learning Engineer - Computer Vision

Description :

Role : Lead / Senior Machine Learning Engineer

We are looking for an experienced Lead / Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments.

This is a leadership role where you will work on cutting-edge AI applications while guiding and mentoring a team of ML engineers.

Responsibilities :

- Design, develop, and deploy production-grade ML/Computer Vision projects such as object detection, defect detection, facial recognition, and human activity analysis.

- Build and optimize robust data pipelines for image and video processing across edge and cloud environments.

- Architect scalable real-time AI systems, ensuring high accuracy and low latency.

- Lead and mentor a team of junior ML engineers, driving collaboration and high technical standards.

- Stay updated with the latest research in AI/ML and integrate innovative models into existing workflows.

- Communicate effectively with stakeholders, translating technical concepts into actionable solutions.

Qualifications :

- 5+ years of experience in Machine Learning, with proven expertise in Computer Vision projects deployed in production.

- Strong proficiency in Python, and experience with deep learning frameworks (PyTorch, TensorFlow) and CV libraries (OpenCV).

- Solid knowledge of MLOps workflows, data pipelines, and scalable deployment strategies.

- Prior experience in leading ML teams and delivering projects end-to-end.

- Excellent communication skills and ability to manage cross-functional collaboration.

Good to Have :

- Experience with vision-based automation in manufacturing.

- Exposure to Generative AI workflows and multi-modal AI pipelines.

- Understanding of AI governance, compliance, and security protocols.

Why Join Us? :

- Opportunity to work on challenging AI problems that demand innovation.

- Lead end-to-end AI projects with full ownership and visible impact.

- Be part of a flexible, collaborative, and high-performing team culture with room for growth.