Machine Learning Engineer

Rocket Software

Rocket Software

Software Engineering
Vilnius, Lithuania
Posted on Wednesday, September 27, 2023

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description Summary:

The Machine Learning Engineer is a highly motivated and experienced individual who likes to work in a multi-disciplinary team. With a good Data Science and Computer Science background, you will work with a highly collaborative team to apply state of the art analytic methods to solve real world problems. This is an opportunity to create tremendous business value as we reinforce a world-class data team.

A Bit About Us:

We are a cross-functional team working in SCRUM where fun, collaboration and quality are the key 😃.

The team combines Frontend, Backend, DevOps & QA skill set, and the ecosystem is very rich, from a web application deployed in the cloud to a near real-time streaming platform with Prophet forecast Kafka & Elasticsearch.

If you are talented, curious, rigorous & passionate for code quality, we need you! 👉

📜 As a Machine Learning Engineer you will:

  • Help building feature pipelines for batch and real-time data, working with various stakeholders, engineers & data scientist

  • Contribute to our ML pipeline for model training, evaluation and batch inference at scale

  • Update training models that power new features from our roadmap that make our product easier to use, have better performance and improve the reliability of our product

  • Help develop our ML metrics and monitoring platform and program for forecast & anomaly detection models with Python

  • Have a strong curiosity to explore and uncover hidden relationships in data, and a proactive desire to translate findings into actionable business insights

  • Be creative and focused on user experience and value

Required Qualifications:

  • 3-5+ years of industry experience.

  • English speaking (French is a plus)

  • Experience in Python, Linux, and Data Science.

  • Proven ability to find creative and practical solutions to complex problems.

  • Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources.

  • Quick learner, flexible, and adaptable to the needs of internal collaborators in a dynamic environment.

Preferred Qualifications:

  • Experience working with various data infrastructure technologies such as datastores (SQL/NoSQL) and data streaming/processing (Kafka) is preferred

  • Software library for machine learning like Tensorflow, Keras, Pandas, or Sklearn is a plus

  • Strong background in Computer Science & Data Science

Additional Information: The Position is remote within Lithuania's perimeter (the person has to be physically in Lithuania).



What Rocket Software can offer you in Vilnius:

  • International environment and projects with blue-chip clients
  • Experience in building something new: creating a new development center in Vilnius, building new teams, and learning together
  • Private Healthcare.
  • 25 days Annual Leave.
  • Enhanced Sick Pay Benefit – sickness pay up to 100% covered.
Annual salary range for this position is between €39,270.00 - €72,930.00 gross before taxes.

Salary offer for the candidate is determined based on the predefined salary ranges for the position and depends on the level of competence and experience of the candidate.

Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to We will make a determination on your request for reasonable accommodation on a case-by-case basis.


If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!