Senior Machine Learning Engineer

🚀 We’re Hiring | Senior Machine Learning Engineer – Bangalore

About Tekion

Positively disrupting an industry that has seen little innovation in over 50 years, Tekion is redefining automotive retail.Our Automotive Retail Cloud (ARC) , Automotive Enterprise Cloud (AEC) , and Automotive Partner Cloud (APC) connect OEMs, retailers, and consumers through one seamless platform.

Leveraging cutting-edge technology, big data, machine learning, and AI , we’re transforming the automotive retail ecosystem.

With offices in North America, Asia, and Europe , Tekion employs around 3,000 people

worldwide —inventing new technology, solving complex challenges, and having a blast doing it!

🔍 Role : Senior Machine Learning Engineer

📍 Location : Bangalore

Key Responsibilities

• Execute R&D and product roadmap initiatives based on industry insights and business needs.
• Collaborate with stakeholders to align ML solutions with business objectives.
• Develop robust APIs and microservices for seamless ML model integration into production systems.
• Build feature pipelines for model serving and ensure effective integration with front-end, database, and back-end services.
• Mentor and guide machine learning engineers; foster growth through training and collaboration.
• Conduct code reviews to maintain quality and best practices.
• Manage end-to-end MLOps pipelines for data collection, model training, validation, and monitoring.
• Ensure adherence to version control, testing, and model governance best practices.
• Implement model compression, quantization, and distributed training techniques.
• Track key metrics and optimize models post-deployment.
• Collaborate with Cloud Architects and DevOps to design scalable ML infrastructure.
• Oversee deployment and management of compute and storage resources for model training and inference.
• Work with applied scientists and analysts to convert model requirements into production-ready solutions.
• Establish monitoring and alerting systems for deployed models.
• Create and maintain documentation for ML architecture and best practices.
• Stay current with ML technologies and contribute to continuous improvement efforts.

Required Qualifications

Preferred Qualifications

Perks and Benefits