Remote Jobs RockRemote Jobs Rock

MLOps Engineer III

📅 Jul 22
MlopsLlmopsML EngineeringDevOps
Apply Now

📜 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
  • 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

🛠️ Requirements

  • 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

✨ Benefits

  • 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
  • Recognition That Counts We create a culture of appreciation, rewarding your impact through referral incentives and loyalty perks as you
  • Growing Families, Growing Joy As your family grows, we're here to celebrate with a special newborn gift for your little one
Full job description

Company Description

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

Qualifications

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!

Videos To Watch

Lexroom

Senior AI Engineer

🕒 3 days ago
Lexroom🏢 Legal Technology🤝 B2B

Build agent-driven and retrieval-augmented AI systems for legal work, improve LLM quality through fine-tuning and evaluation, and develop scalable search and document-processing pipelines.

📍 🇪🇸 Barcelona - Hybrid💰 €70k - €100k / year💼 Full-Time🎸 Senior🤖 AI Engineer📢 🇬🇧 English Required📢 🇮🇹 Italian Required
PythonLLM ResearchDeep LearningMachine Learning Pipelines
VetsEZ

Senior Applied AI Product Engineer (Remote Opportunity)

🕒 2 days ago
VetsEZ👥 201 - 500 employees🏢 Information Technology And Services

Build and deliver AI-powered healthcare products, developing full-stack features, APIs, backend services, and LLM integrations while collaborating with product and clinical teams and applying software, DevOps, and MLOps practices.

Claude CodePythonTypeScriptJavaScript
Asana

Senior Software Engineer, AI

🕒 yesterday
Asana👥 10,000+ employees🏢 Software Development🤝 B2B

Leads architecture and delivery of AI engineering projects, building reliable systems for agentic execution, model orchestration, and enterprise workflows while guiding engineers and shaping technical direction.

Software EngineeringDistributed SystemsMicroservicesFull-stack Architecture
ALTEN

Senior AI Engineer (Autonomy & Machine Learning)

🕒 3 days ago
ALTEN👥 10,000+ employees🏢 Information Technology And Services

Develop and deploy AI and machine learning solutions for autonomy and intelligent systems, taking work from early experimentation through production in safety-critical environments across defence and aerospace programmes.

PythonPytorchTensorflowScikit-learn

Trusted by Remote Workers