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Home›Jobs›Tekion›Machine Learning Engineer I
Tekion

About Tekion

The cloud platform transforming automotive retail efficiency

🏢 Tech👥 1001+ employees📅 Founded 2016📍 Pleasanton, CA💰 $635.1m⭐ 3.4
RetailB2BCloud Computing

Key Highlights

  • Raised $635.1M in Series D funding
  • Serves customers in 28 states with major partners like GMC and Chrysler
  • Headquartered in Pleasanton, CA with 1,000+ employees
  • Offers unlimited PTO and 100% employer-paid health coverage

Tekion is a cloud-native platform revolutionizing the automotive retail industry by integrating various software applications into a single infrastructure. Headquartered in Pleasanton, CA, Tekion has raised $635.1 million in Series D funding and serves customers across 28 states, partnering with maj...

🎁 Benefits

Tekion offers unlimited PTO, 100% employer-paid medical, dental, and vision coverage, and generous stock options. Employees enjoy parental leave, free...

🌟 Culture

Tekion fosters an open and transparent culture that encourages innovation and rewards performance. The company emphasizes collaboration and community ...

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Tekion

Machine Learning Engineer I

Tekion • Bangalore, India

Posted 4d agoEntry-LevelMachine learning engineer📍 Bangalore
Apply Now →

Skills & Technologies

Machine learningAIBig dataNatural Language Processing

Overview

Tekion is hiring a Machine Learning Engineer I to accelerate the rollout of LLM-powered features across their cloud-native automotive platform. You'll work with cutting-edge technologies including machine learning and AI in Bangalore.

Job Description

Who you are

You are an entry-level Machine Learning Engineer with a foundational understanding of machine learning principles and practices. You have experience with big data technologies and are eager to apply your knowledge in a real-world setting. You are familiar with natural language processing (NLP) and have a keen interest in developing AI-driven solutions. You are a collaborative team player who enjoys working in a fast-paced environment and is excited about the opportunity to contribute to innovative projects.

Desirable

Experience with cloud-native platforms and an understanding of automotive industry challenges would be a plus. Familiarity with LLMs and agentic workflows is also desirable, as is a passion for continuous learning and professional development in the field of machine learning.

What you'll do

In this role, you will be responsible for accelerating the rollout of LLM-powered and agent-driven features across Tekion's products. You will operationalize secure, compliant, and explainable LLM and agentic services at scale, ensuring that they meet the needs of users and stakeholders. You will convert applied sciences models into scalable, compliant, and cost-efficient production services, standardizing how models are trained, validated, deployed, and monitored across Tekion products. Your work will power real-time, context-aware experiences by integrating batch and stream features, graph context, and online inference.

You will collaborate with cross-functional teams to ensure that the machine learning models align with business objectives and user needs. You will participate in the entire lifecycle of model development, from prototyping to deployment, and will be involved in monitoring and improving model performance over time. You will also have the opportunity to contribute to the development of best practices for machine learning within the organization, helping to foster a culture of innovation and excellence.

What we offer

At Tekion, you will be part of a dynamic team that is positively disrupting the automotive industry. We offer a collaborative work environment where your contributions will have a direct impact on the success of our products. You will have access to cutting-edge technology and the opportunity to work on projects that are shaping the future of automotive retail. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to transform the automotive retail ecosystem through innovation and technology.

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