MLOPS ENGINEER
- Remote
- €3,000 - €6,000 per month
- OPERATIONS
Job description
ABOUT THE COMPANY
LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.
ABOUT THE CLIENT
Leading technology manufacturing company that supplies systems for passenger cars, commercial vehicles and industrial technology. They are recognized for their commitment to engineering excellence, cutting-edge technology, and sustainable mobility solutions. With a strong emphasis on performance, design, and customer satisfaction, they continually push the boundaries and are a significant player in shaping the future of the industry.
ABOUT THE ROLE
In this role, you will play a critical part in deploying, managing, and monitoring machine learning models in production environments. You will work closely with cross-functional teams to ensure models are built, tested, and deployed reliably and at scale. This is an exciting opportunity for individuals passionate about automating workflows, optimizing model performance, and implementing robust CI/CD pipelines in dynamic and collaborative settings.
RESPONSIBILITIES
Responsible for deploying, managing and monitoring machine learning models in production environments.
Collaborate closely with data scientists and software engineers to ensure models are built, tested and deployed reliably and at scale.
Automating workflows, optimizing model performance and implementing continuous integration and continuous deployment (CI/CD) pipelines.
Additionally Handling data preparation, model training and version control, ensuring models remain accurate and up-to-date.
REQUIREMENTS
Technical Skills:
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
Soft Skills:
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.
WHAT WE OFFER
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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