Job Description

At SIXT, we are building the central MLOps/LLMOps Platform that supports Data Scientists and ML Engineers worldwide and we need engineers who can architect it at scale. As a MLOps Engineer in our Data Science team, you will design and build scalable solutions for both classical ML use cases and next-generation LLMOps and Agentic AI workloads, directly influencing the experience of millions of customers and advancing SIXT's AI capabilities. You will work at the cutting edge of platform engineering, in a high-ownership environment where your contributions shape how AI is built and deployed across the entire organisation. If you are passionate about innovative AI platforms and want to make a real impact, apply now and become part of Team Orange
YOUR ROLE AT SIXT
- You design and build the central MLOps/LLMOps Platform, covering the full lifecycle of classical ML and Agentic/GenAI workloads
- You architect robust CI/CD workflows and self-service capabilities that empower Data Scientists and ML Engineers to deploy models and agents independently




- You build and evolve the Agentic Platform on AWS Bedrock, utilising frameworks such as LangGraph or comparable tools
- You collaborate with Data Scientists, ML Engineers, and Infrastructure teams to translate requirements into scalable platform capabilities
- You establish and promote MLOps and LLMOps best practices through training, documentation, and hands-on support
- You optimise infrastructure costs and observability by implementing productive resource management and intelligent automation

YOUR SKILLS MATTER
- Education & Experience You have Bachelor's Engineering or Master's degree in Computer Science or a related discipline, with atleast 7 years of experience in MLOps, LLMOps, ML Engineering, or DevOps and a proven track record delivering production ML or GenAI platforms
- Tools & Stack You have hands-on expertise with AWS SageMaker, AWS Bedrock, LangGraph, LangChain, or similar AI stacks, combined with

📌 MLOps Engineer III (Bengaluru)
🏢 SIXT India
📍 Bengaluru