Machine Learning Operations Engineer

DeepIntent is seeking a Machine Learning Operations Engineer to join their European Data Infrastructure team. The engineer will be responsible for designing and supporting ML deployment systems, working closely with the Data Science team, and continuously improving the code base. The ideal candidate should have a strong background in software engineering, experience with Spark, Docker, and Kubernetes, and a good understanding of Linux. This role offers flexible working hours, vacation days, learning and development opportunities, and the chance to work with cutting-edge technologies.

• Design ML deployment and support systems, including architecture and tool selection
• Work closely with the Data Science team to help them adopt best practices and migrate their workloads to the MLOps platform
• Continuously improve code base and its maintainability
• Manage individual project priorities, deadlines, and deliverables in a timely manner
• Work with business units on Product development

• Bachelor's degree in Computer Science or similar technical field of study or equivalent practical experience
• Strong software engineering skills in complex, distributed, multi-language systems (Python preferred)
• Experience with Spark, Docker and Kubernetes
• Good understanding of Linux
• Experience building end-to-end systems
• Experience developing and maintaining ML systems built with open source tools (e.g. Metaflow, Airflow)
• Strong understanding of software testing, benchmarking, and continuous integration
• Ability to understand tools used by data scientists
• Enthusiastic learner with a thirst for keeping up with new and various technologies
• Strong collaborator in small, cross-domain, distributed team environments

• Flexible working hours
• 20 days of vacation base, plus one extra day for every four years of experience
• 3-4 days of extra days off per year when celebrating successes globally
• Constant learning and development opportunities
• Yearly bonuses based on performance and company success
• Top-notch equipment with the possibility to choose hardware (Mac or PC)
• Working with cutting-edge technologies
• Friendly working atmosphere in an open-minded multinational team
• Equal employment and advancement opportunities for all individuals
• Inclusive environment promoting a sense of belonging and collaboration
• Equal opportunity employer providing accommodation for disabilities or special needs