Senior MLOps Engineer

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.