We are hiring for the position of Senior Staff Engineer - AI/ML (Computer Vision) for a leading global MedTech product organization.

Experience : 11 - 14 Years

Location : Bangalore (Hybrid)

Key Responsibilities :

- Lead the end-to-end development of AI/ML and Computer Vision solutions from design to deployment.

- Design, develop, validate, optimize, and deploy scalable AI models for production environments.

- Translate business requirements into technical architecture and execution plans.

- Build high-performance Computer Vision and Deep Learning solutions using modern AI frameworks.

- Drive inference optimization and model deployment for real-world applications.

- Leverage Agentic AI to accelerate software development while ensuring quality, reliability, and maintainability.

- Review AI-generated code and technical artifacts to ensure engineering excellence.

- Collaborate with global cross-functional teams to deliver robust, production-ready AI solutions.

- Identify technical risks, mentor engineering teams, and ensure timely project delivery.

Mandatory Skills :

- Strong experience in Python programming.

- Hands-on expertise in Computer Vision, Artificial Intelligence, Machine Learning, and Deep Learning.

- Experience with PyTorch or TensorFlow.

- Strong understanding of AI Systems Engineering, Algorithms, System Design, Software Engineering, Model Evaluation, and Inference Optimization.

- Experience with TensorRT, ONNX, or OpenVINO for model optimization and deployment.

- Hands-on experience with AWS or Azure, including AWS SageMaker or Azure ML.

- Experience building and deploying scalable AI solutions in production environments.

- Exposure to Agentic AI, AI-assisted development, and code review workflows is highly preferred.

Preferred Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.

- Experience in the Healthcare/Medical Device domain or other regulated industries is preferred.

- Strong leadership, architecture, and stakeholder management skills.

- Experience delivering enterprise-scale AI/ML products with a focus on performance, quality, and reliability.