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MLOps Engineer III
SIXT
Bengaluru, IND
Full-time
Senior · 7+ years experience
Hybrid
Discovered 3 weeks ago
AWS SageMakerAWS BedrockLangGraphLangChainDockerKubernetes
Free
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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 efficient 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 strong skills in containerisation (Docker, Kubernetes), CI/CD tooling, and modern monitoring solutions
- Platform Knowledge You have Deep understanding of ML and LLM lifecycles, with the ability to design scalable, self-service platform capabilities that serve diverse engineering teams
- Motivation You have driven platform adoption across multiple teams and thrive on fostering change, automation, and innovation in fast-moving environments
- Communication You excel at explaining complex technical topics to diverse audiences and influencing decision-making in an international environment
- Mindset You are solution-oriented and continuously learning you keep up to date with the latest trends in ML, LLMs, and Agentic AI and bring that knowledge into your day-to-day work
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