Machine Learning Engineer(m/w/x)

Description

As the engineering bridge for the research team, you will build robust MLOps pipelines and transform experimental code into high-performance software to power the next generation of intelligent products.

Requirements

• •University degree in Computer Science, Software Engineering, or related field
• •Professional experience in building production-grade software systems
• •Deep proficiency in Python
• •Advocacy for clean code, design patterns, and modular architecture
• •Experience with C++ or C# (Advantageous)
• •DevOps mindset and hands-on experience in Docker and Kubernetes
• •Ability to manage containerized workloads and scale services
• •Skill in automating infrastructure using Terraform, Ansible, or Bicep
• •Track record of designing and maintaining CI/CD pipelines
• •Familiarity with MLflow, Kubeflow, or DVC
• •Enjoyment of translating research code into stable products
• •Strong communication and mentoring skills
• •Structured approach to work and project leadership experience

Tasks

• •Design and maintain robust MLOps infrastructure
• •Transform experimental research code into high-performance software
• •Build automated pipelines for model deployment
• •Manage computing environments using Terraform and Ansible
• •Define engineering standards for version control and containerization
• •Implement monitoring solutions for model performance and health
• •Consult with scientists to optimize research workflows
• •Deploy ML models across cloud, edge, and on-premise environments

Tools & Technologies