Lead Machine Learning Engineer (MLOps)

Tide is seeking a Lead Machine Learning Engineer (MLOps) to join their team in Lithuania. The successful candidate will be responsible for architecting, designing, testing, implementing, deploying, monitoring, and maintaining end-to-end backend services. The role requires proven work experience as a Backend Python Engineer, understanding of software engineering fundamentals, and hands-on experience with frameworks such as Django, FastAPI, or FlaskAPI.

Requirements

• Proven work experience as a Backend Python Engineer (Senior/Lead)
• Understanding of software engineering fundamentals (OOP, SOLID, etc.)
• Hands-on experience with frameworks such as Django, FastAPI or FlaskAPI
• Extensive experience integrating with or creating REST APIs
• Experience with creating and maintaining CI/CD pipelines
• Experience with event-driven architectures
• Experience with AWS
• Experience with integrating ML models, Databricks, ML feature store solutions, Kafka (or other message brokers)

Benefits

• Flexible workplace model supporting both in-person and remote work
• Face-to-face interactions to foster team spirit and collaboration
• Regular in-person gatherings to foster a strong sense of community