Senior Staff Engineer AIML & Computer Vision (Karnataka)

We're Hiring | Senior Staff Engineer AI/ML (Computer Vision) 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. - Robust 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. If you're interested or know someone who would be a great fit, please share your updated resume. .