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Machine

Learning Engineer

  • €

    60,000 Per Year

  • Permanent

Reference: 38617

Description

twentyAI are excited to be partnered with this business, founded in 2020 and rapidly growing startup based in Munich, Madrid and Barcelona. With a team consisting of over 300 passionate and skilled ML Engineers, Data Scientists, and Developers, we are dedicated to our ambitious objective of democratizing AI.

We have harnessed cutting-edge technology to develop an exceptional AI mobile app that goes beyond conventional solutions. By seamlessly providing immediate business insights, we are poised to revolutionize the corporate landscape.

Our vision is to establish ourselves as the preferred platform for AI-driven decision-making, setting new standards in the industry. We firmly believe that our state-of-the-art technology empowers organizations to make faster and more intelligent choices.

By joining our team, you will have the opportunity to be at the forefront of this transformative movement, shaping the future of intelligent decision-making in remarkable ways.

Key Responsibilities

If you have a passion for data and technology and want to join a crew of sharp analytical minds and data enthusiasts, then this may be the right opportunity for you. As a Senior Machine Learning Engineer, you will take part of the following tasks:
  • Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration.
  • Partner with Data Scientists and Engineers to bring AI solutions and Laboratories to production.
  • Supervise, review and validate pull requests, deployment, and development flows in the AI team
  • Drive continuous improvements in MLOps processes and tools.
  • Sponsor the creation of new software and ML standards in the AI team.
  • Ensure the quality of your own and your teams' developments.
  • Interact with other functions and agree on data exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …).
  • Ensure adherence to best practices in ML model governance and compliance.
  • Keep up to date with the latest trends in AI and MLE

Qualifications/ Experience
  • 4 years' experience in a Machine Learning Engineer or Data Scientist role
  • Strong experience with production-level Python code, strong programming skills. Bonus: having contributed to AutoML libraries, SaaS AI products.
  • Proficient experience in machine-learning methodologies (Machine Learning and Deep Learning).
  • Familiarity with cloud-based infrastructure and services (AWS preferred).
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with version control and CI/CD systems (GitHub Actions preferred).
  • Versed in the industry-standard MLE stack: MLflow, Airflow, DBT, REST APIs.
  • Experience communicating technically, at a level appropriate for the audience.
  • Ability to work in a fast-paced environment and learn quickly.
  • Enthusiasm for the latest advances in Generative AI.
  • Professional English a must








 
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Consultant

Sabrina Patel