Computer Vision Engineer
ACV Auctions
2 - 5 years
Chennai
Posted: 18/03/2026
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Job Description
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 Monks 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, wit
- 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
- Masters 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.
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