Machine Learning Engineer, Com · Mohali

Machine Learning Engineer, Computer Vision is a delivery-focused opportunity based in Mohali, India.

Design and deploy Vision AI-powered agents capable of perception, understanding, and decision-making for public safety, surveillance, and manufacturing use cases.

Key Responsibilities

• Design and deploy Vision AI-powered agents capable of perception, understanding, and decision-making for public safety, surveillance, and manufacturing use cases
• Design, build, and improve software systems that support the goals of the Machine Learning Engineer, Computer Vision function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.
• Support release readiness by validating edge cases, dependencies, and rollback considerations.
• Share knowledge through pairing, mentoring, documentation, and constructive code reviews.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.