Aktuelle Jobs im Zusammenhang mit MLOps Specialist - Karlsruhe, Baden-Württemberg - understandAI GmbH

  • MLOps Engineer

    vor 2 Monaten


    Karlsruhe, Baden-Württemberg, Deutschland understandAI GmbH Vollzeit

    About the RoleWe are seeking a highly skilled MLOps Engineer to join our team at understandAI GmbH. As a key member of our organization, you will play a crucial role in enabling machine learning engineers to build, operate, and ship models efficiently.The ideal candidate will have a strong background in MLOps tools, cloud computing, and Kubernetes. You will...

  • MLOps Engineer

    vor 2 Monaten


    Karlsruhe, Baden-Württemberg, Deutschland understandAI GmbH Vollzeit

    About the RoleWe are seeking a highly skilled MLOps Engineer to join our team at understandAI GmbH. As a key member of our organization, you will play a crucial role in enabling machine learning engineers to build, operate, and ship models efficiently.The ideal candidate will have a strong background in MLOps tools, cloud computing, and Kubernetes. You will...

MLOps Specialist

vor 3 Monaten


Karlsruhe, Baden-Württemberg, Deutschland understandAI GmbH Vollzeit
Keywords

MLOps | Cloud Computing | Kubernetes

The Role

As a **MLOps Specialist** at **understandAI GmbH**, you will empower machine learning professionals to develop, deploy, and manage models effectively while ensuring efficient data handling. Working within a dedicated team responsible for the entire product lifecycle, you will collaborate closely with our DevOps specialists across various teams.

This position merges system and software engineering, emphasizing the importance of coding and automation. You will have the opportunity to lead the implementation of specific solutions and share your expertise with team members. Your work will embody the principles of DevOps, focusing on measuring and achieving reliability through engineering and operational tasks.

Your Responsibilities
  • Design and sustain the next generation of our machine learning infrastructure, which includes:
    • Model development
    • Data management
    • Model operation, management, and monitoring
    • Cost transparency
  • Provide user-friendly tools to support ML engineers
  • Collaborate with ML engineers to drive implementation
  • Work closely with our DevOps specialists
  • Foster an MLOps mindset within the team
  • Continuously assess cutting-edge MLOps solutions relevant to our needs
  • Identify automation opportunities to enhance efficiency, reliability, and scalability
Qualifications for Success
  • Proven experience with MLOps tools
  • Strong familiarity with at least one cloud platform – our focus is on Google Cloud
  • Experience with Kubernetes
  • Basic understanding of machine learning concepts
  • Solid proficiency in a high-level programming language, such as Python, JavaScript, or Java
  • Experience in large-scale system design, with a deep understanding of UNIX/Linux, networking, and security practices
  • Ability to lead initiatives and inspire team members
  • Enjoyment in teamwork and effective communication with colleagues
  • Educational background in Computer Science (or related field) or a proven track record as an MLOps expert
  • Strong communication skills in English, both written and verbal
What We Offer
  • A pivotal role in a dynamic and rapidly expanding team
  • A workplace culture that promotes trust, respect, and constructive feedback
  • An onboarding mentor to help you integrate smoothly into our organization
  • Dedicated time for productivity and improvement between development cycles
  • A mentor to assist you with personal goals, technical growth, and software engineering skills
  • Complimentary snacks and beverages, along with opportunities to participate in activities such as hiking, inline skating, climbing, or board game nights
  • Competitive compensation, flexible working hours, and remote work options
Our Technology Stack

Google Cloud, Kubernetes, Terraform, ArgoCD, Docker, Python, TypeScript

At **understandAI**, we believe that AI is the most powerful tool available to our generation. We strive to make deep learning accessible for real-world applications, such as autonomous vehicles.

Founded in 2017, we are committed to being the ideal partner for annotation throughout your autonomous project development. With over six years of experience in ADAS/AD projects and unparalleled domain expertise, we turn large-scale validation into a tangible reality.

We are your trusted partner on your journey towards autonomy.