MLOps Engineer
Yesterday
Description
• Play a critical part in deploying, managing, and monitoring machine learning models in production environments. • Work closely with cross-functional teams to ensure models are built, tested, and deployed reliably and at scale. • Automate workflows, optimize model performance, and implement robust CI/CD pipelines in dynamic and collaborative settings. • Handle data preparation, model training, and version control, ensuring models remain accurate and up-to-date.
Requirements
• Proven experience in deploying, managing, and monitoring machine learning models in production environments. • Expertise in automating workflows, optimizing model performance, and implementing CI/CD pipelines. • Proficiency with the following technologies: Azure DevOps, Azure Data Lake Gen2, Azure Machine Learning, Kubernetes, OpenShift, Docker. • Strong proficiency in written and spoken English. • Experience working in an agile environment. • Strong analytical and problem-solving skills with a goal-oriented, independent, and structured work approach. • An end-to-end implementation mindset with the ability to anticipate and address challenges. • Collaborative mindset and ability to work effectively within a team.
Benefits
• Learning opportunities with compensated certificates, learning lunches, and language lessons. • Opportunity to switch projects after one year. • Team building and victory celebration compensation every quarter. • Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment. • Remote work opportunities. • Flexible time off depending on the project. • Mental health support, including psychologist consultations and seasonal activities with colleagues. • Health insurance for Lithuanian residents. • Referral bonuses. • Loyalty days. • Recognition of important occasions in your life.
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