MLOps Engineer III

Posted 21 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Automotive • Sharing Economy • Transportation • Travel
The Role
Design and build a central MLOps/LLMOps platform for classical ML and agentic/GenAI workloads on AWS. Architect CI/CD and self-service capabilities, implement observability and cost optimizations, collaborate with data scientists and infrastructure teams, promote best practices, and support platform adoption.
Summary Generated by Built In
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!

Skills Required

  • Bachelor's or Master's in Computer Science or related discipline
  • At least 7 years experience in MLOps, LLMOps, ML Engineering, or DevOps delivering production ML or GenAI platforms
  • Hands-on expertise with AWS SageMaker
  • Hands-on expertise with AWS Bedrock
  • Experience with LangGraph or comparable frameworks
  • Experience with LangChain or similar LLM frameworks
  • Containerization expertise (Docker)
  • Container orchestration expertise (Kubernetes)
  • CI/CD tooling and pipeline architecture experience
  • Experience with monitoring/observability and infrastructure cost optimization
  • Deep understanding of ML and LLM lifecycles and platform design
  • Strong communication skills and experience driving platform adoption across teams
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The Company
HQ: Fort Lauderdale, FL
10,602 Employees
Year Founded: 1912

What We Do

Sixt SE is an international provider of mobility services, offering vehicle rental, car sharing, subscriptions, and transfer services through its app and branch network.

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