Lead ML Engineer

Job Description:

Responsibilities

• As a Senior ML Engineer, you will lead the design, development, and deployment of advanced
• computer vision systems that power AI automation across diverse operational workflows. You
• will take ownership of the entire solution lifecycle, from problem scoping, model development, to
• deployment and performance monitoring, with a team of ML engineers.
• Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control.
• Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources.
• Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments.
• Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving.
• Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows.
• Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects.

Qualifications

• At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime.
• Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch,TensorFlow, OpenCV, etc
• Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies.
• Previous experience in leading ML teams, mentoring engineers, and managing project deliverables.
• Comfortable working in an agile, startup-like environment where problem-solving and ownership are key.
• Excellent communication skills to translate complex technical concepts into actionable project plans.