Senior Staff Engineer AIML & Computer Vision

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. 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. If you're interested or know someone who would be a great fit, please share your updated resume. .