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MLOps Engineer III

Bengaluru, Karnataka, India

Pay
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Employment
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Apply at Sixt

Tools in this posting

  • AWS
  • Docker
  • Kubernetes
  • SageMaker
Source — Tool mentions in context
- 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
- 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

Benefits in the posting

Full benefits wording
  • Balance Your Career Benefit from a hybrid work environment complemented by flexible working hours
  • Your Wellness Matters We're committed to your well-being through comprehensive insurance, wellness programs, health checkups, and fitness benefits

From the employer’s posting.

About Sixt

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide.

In the employer’s words · Read in context

Job description

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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 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

WHAT WE OFFER

  • Grow Further, Go Further Advance your skills and unlock your potential with our Education Assistance Program
  • Balance Your Career Benefit from a hybrid work environment complemented by flexible working hours
  • Fuel Your Day Great work deserves great fuel. Enjoy meal benefits that keep you energized and ready to bring your A-game
  • Your Wellness Matters We're committed to your well-being through comprehensive insurance, wellness programs, health checkups, and fitness benefits
  • Recognition That Counts We create a culture of appreciation, rewarding your impact through referral incentives and loyalty perks as you advance with us
  • Growing Families, Growing Joy As your family grows, we're here to celebrate with a special newborn gift for your little one

Additional Information

About us:

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!

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Source & posting history

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Pay

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Location & working pattern

Bengaluru, Karnataka, India

- Grow Further, Go Further Advance your skills and unlock your potential with our Education Assistance Program - Balance Your Career Benefit from a hybrid work environment complemented by flexible working hours - Fuel Your Day Great work deserves great fuel. Enjoy meal benefits that keep you energized and ready to bring your A-game
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Status in our records
Active
First seen by us
Aug 6, 2026
Recorded sightings
618
Last seen by us
Oct 9, 2026
Employer says posted
Jul 22, 2026

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