DevOps

ABOUT THE ROLE

The Artificial Intelligence and Data Analytics Team is looking for a Senior MLOPS/DEVOPS Engineer. As a key member of the MLOPS team, your mission is to put science into decision making through machine learning initiatives.

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:

• Leading the way how team handles MLOps topics
• Developing, researching and implementing MLOps frameworks, tools and platforms for our Data Science projects
• Designing and implementing infrastructure for machine learning cloud services
• Creating microservices for task-specific AI cloud services
• Implementing solutions for monitoring model performance and triggering alerts
• Enhancing speed of delivery, automating Model Retraining, Model Monitoring, Model Versioning, improving quality/security of code, and optimizing processes
• Collaborating with the data platform team to create a feedback loop and improve the underlying data infrastructure
• Partnering with peers to ensure scalability, business continuity and appropriate turnaround time
• Working on a backlog of activities to raise MLOps maturity in the organization. Evolve our framework as new technologies and techniques emerge
• Proactively introduce a modern, agile and automated approach to Data Science

Would be a plus:

• Experience in converting data science prototypes for deployment into production purposes
• Record of designing and implementing scalable, performant data and machine learning pipelines, services, and products
• Understanding of distributed data systems and experience in using open source frameworks to build applications
• Be able to communicate collaboratively with Data Scientist, Infrastructure teams and client to understand requirements and scope
• Solid intuition when choosing the right ML/AI approaches to the problems given
• Ability to influence non-technical peers and leadership to deliver substantive change
• Mentorship for less experienced colleagues and guardian of good standards
• Multidimensional skill set: data science, experimentation, AI, statistics, engineering, etc.
• Experience in front- and backend design and development (leveraging Django, Node.js, Streamlit or similar)
• Experience in CI/CD/CT pipeline implementation
• Good knowledge in shell scripting and networking

ABOUT YOU

Qualifications and Experience:

• MSc / MEng degree in Statistics, Computer Science, Automatic Control, STEM, Engineering or a related discipline
• 5+ years of professional experience, coding in Python or other languages
• 2+ experience in the operationalization of Data Science projects (MLOps) using Databricks+MLFlow,
• 5+ years of experience with cloud/devops stack (f.e AWS, Docker, Kubernetes),and ability to design complex architecture
• Hands-on experience with PySpark and SQL
• Working proficiency in English

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days.
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.