Computer Vision Engineer

ACV Auctions · Chennai, India

What you will do:

• Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs.
• Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk’s AI solutions
• Identify and solve key business problems with data-driven, actionable insights.
• Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions.
• Mentor and support junior team members, cultivating a culture of excellence and collaboration.
• Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback.
• Ensure long-term reliability and scalability through robust documentation and testing practices.

Tech Stack Utilized:

• Languages: Python, SQL
• Libraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn
• Tools: Jupyter, DBT, Docker
• Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHub

Background and Skills:

• Required Skills
• 5+ years of experience in computer vision, data science or related fields, with a proven track record of delivering impactful results.
• Strong foundation in machine learning, computer science, statistical modeling, and data processing pipelines.
• Proficiency in Python and SQL for data manipulation and model development.
• Solid experience deploying machine learning models into production environments.
• A proactive approach to aligning with business needs and driving team-wide innovation.
• Strong communication skills to explain technical concepts to non-technical stakeholders.
• Fluent in English, enabling effective collaboration across global teams.
• Desired Background
• Master’s or Ph.D. in Data Science, Computer Science, or a related field
• Experience in B2B SaaS, automotive technology, or AI-driven startups.
• Knowledge of working with distributed teams across time zones.
• A proactive mindset, with the ability to work autonomously in fast-paced environments.