MLOPS ENGINEER

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:

• Expertise in Data Science and Software Engineering, including clean code practices, library development, code coverage and packaging.
• Proficiency in Python, Scala and Apache Spark for developing and implementing machine learning models and AI algorithms.
• Experience with machine learning frameworks such as TensorFlow, PyTorch and scikit-learn.
• Proficient in using Azure Machine Learning, Jupyter Notebooks, compute clusters, Blob storage and other AI-related tools.
• Skilled in integrating databases, APIs and cloud technical architecture.
• Experience in containerizing machine learning models using Docker, OpenShift/Kubernetes.
• Must have expertise in version control systems like Git and CI/CD tools for automating workflows.
• Competent in deploying models into production and monitoring their performance to ensure accuracy and reliability.
  
  
  

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.