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As an MLOps Engineer, you will help our clients with automating and managing the machine learning lifecyle. More specifically, the responsibilities include design and implement solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLMs. You identify, design, and implement process improvements in the machine learning lifecylce: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc, Furthermore, you collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and other IT roles to integrate all parts of the solution. In addition you implement CI/CD pipelines, IaC, monitoring for models and infrastructure.
Job Responsibility:
Design and implement solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLMs
Identify, design, and implement process improvements in the machine learning lifecycle: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc
Collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and other IT roles to integrate all parts of the solution
Implement CI/CD pipelines, IaC, monitoring for models and infrastructure
Requirements:
At least 3 years of experience as an MLOps Engineer, Machine Learning Engineer or in a similar position
Experience managing the machine learning lifecycle in production, and related MLOps frameworks
Master CI/CD pipelines and Infrastructure as Code
In depth knowledge of containers and container orchestration
Solid understanding of Linux and in depth knowledge of at least one cloud provider
Programming experience with Python
Experience with monitoring and logging technologies
Good grasp of big data technologies such as Apache Spark, ElasticSearch, Kafka
Able to coach others and give technical advice and direction
Understanding of networking, firewalls, and IT infrastructure
Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively
Master or PhD in Machine Learning, Artificial Intelligence, Computer Engineering, or related field
Proficient in English, knowledge of Dutch and/or French is a plus
Nice to have:
Experience with Data Quality and Governance
Experience with Data Engineering
What we offer:
A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy to support your career development
The opportunity to connect with fellow Sopra Steria colleagues at various team events
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