Computer Vision Engineer

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotiveAt ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs.Who we are looking for:Monk is leading the way in AI-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europ Getaround (France), Autobiz (Europe), and Hgreg (Canad We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we'd love to have you on board. This role is your opportunity to lead game-changing projects, create tangible value, and shape the future of AI technology in the automotive space. 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, SQLLibraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn Tools: Jupyter, DBT, Docker Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHubBackground and Skills:Required Skills5+ years of experience in computer vision, data science or related fields, wita 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 productionenvironments.A proactive approach to aligning with business needs and driving team-wideinnovation.Strong communication skills to explain technical concepts to non-technicalstakeholders.Fluent in English, enabling effective collaboration across global teams.Desired BackgroundMaster's or Ph.D. in Data Science, Computer Science, or a related fieldExperience 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-pacedenvironments.