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(Senior) MLOps Engineer (m/f/d)

extra holidays

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Germany

Offer summary

Qualifications:

Bachelor's degree in computer science or engineering, 3+ years of experience in MLOps or related roles, Proficient in Python, SQL and scripting languages, Experience with AWS/Azure and Docker/Kubernetes, Familiar with AI frameworks like TensorFlow/PyTorch.

Key responsabilities:

Monitor and troubleshoot AI models in production
Implement CI/CD pipelines and deployment strategies
Develop documentation and best practices for AI models
Research new technologies to improve AI performance
Collaborate with teams to enhance model efficiency

IU International University of Applied Sciences Education XLarge https://www.iu.de/

1001 - 5000 Employees

See more IU International University of Applied Sciences offers

Job description

(Senior) MLOps Engineer (m/f/d)

At IU Group we are committed to providing access to the most personalized education around the globe through the power of AI and providing education of tomorrow, today.

This position is available immediately in full-time (40hrs./week) within Germany or UK remotely or at one of our office locations.

Your tasks

Monitor and troubleshoot the AI and language models in production, utilizing various tools and metrics to ensure high availability and performance.
Implement and refine the CI/CD pipelines, testing frameworks, and deployment strategies to manage and scale AI and language models.
Develop and maintain up-to-date documentation, best practices, and standards for the AI and language models in operation.
Conduct research and evaluations of new technologies and methodologies to enhance the performance and efficiency of AI and language models.
Work collaboratively with data scientists, engineers, and product managers to provide constructive feedback and insights for the improvement of AI and language models.
Take responsibility for the deployment and updating of language models in production using tools such as SageMaker, transformers, DeepSpeed, and other relevant technologies.

Your Profile

You have successfully completed a Bachelor’s level study program in computer science, engineering, or a comparable educational background.
You possess at least 3 years of experience in ML/Deep Learning Engineering, MLOps, AI ops, LLMOps, DevOps, or a similar role.
You are proficient in Python, SQL, Bash, and other scripting languages that are essential for AI and language model operations.
You have working experience with cloud platforms preferably AWS > Azure and are familiar with container technologies such as Docker, Kubernetes, as well as orchestration tools like Airflow, Kubeflow.
You have a solid understanding of AI and language models, covering areas like NLP, computer vision, and speech recognition.
You have hands-on experience with AI frameworks (TensorFlow, PyTorch), libraries (Transformers, DeepSpeed, AWS Sagemaker SDK, etc.), and tools (Grafana, Weights > Biases).

What We Offer

Shape your career: Rapid growth opens up many new opportunities for you. Tell us about your dream career and we will help you make it a reality.
Work wherever you want…: Digitalization is part of our DNA. So decide for yourself which place sparks the most productivity in you. You love remote work? No problem! Would you like to work abroad for a while? Our WorkFlex Benefit makes it possible.
… and flexible in terms of time: It’s your job; We trust you and give you the greatest possible freedom to organize yourself.
Take your knowledge to a new level: Where if not with us? Benefit from free further training, language courses and discounted study programs. With us there is always something new to learn.
Rest well: We make an effort every day, but we also take the time to recharge our batteries: with 30 days of annual vacation plus an extra day of vacation on your birthday.
Reach your destination sustainably: Germanys 9 euro ticket is history, we got the DeutschlandTicket for 7 €. You prefer to travel by bike? Then a Jobrad (bike leasing)might be the right choice. We offer many environmentally conscious options to be mobile both professionally and privately.

Who are we? Germany’s largest university – and not just an excellent choice for studying, but also an outstanding Great Place to Work®! As an Edutech company, we rely on state-of-the-art technology and data-driven approaches. That’s why AI-driven voice assistants and other GPT systems have long become part of our daily work routine, helping us to focus on exciting projects. Here at IU, over 4,000 employees are dedicated to making a difference. So start now and join the Gamechangers!

Sounds like the perfect job for you? Then apply now!

If you have any further questions, please feel free to contact Anita at anita.streitferdt@iu.org

Please be aware that all applications must be submitted through our online form; applications via email will not be considered.

Words are followed by actions: We take our “Culture Of Everyone” very seriously and would like to take this opportunity to expressly point out that you are welcome to join us, regardless of your origin, religion, gender, age or sexual orientation. Even if you have a disability, our doors are wide open to you. We look forward to a diverse community here at IU!