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.
