Lead Machine Learning Engineer

Posted:
7/25/2025, 12:07:59 AM

Location(s):
Vilnius County, Lithuania ⋅ Vilnius, Vilnius County, Lithuania

Experience Level(s):
Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

What success looks like in this role:

In this role, you will be pivotal in advancing our in-house LLM-powered chatbot technologies through research, development, evaluation, and analytics. You will focus on tracking and experimenting with advancements in Retrieval-Augmented Generation (RAG) and its evaluation methodologies.

Define Technological Vision: Develop and articulate the technological vision for our in-house chatbot evaluation & analytics engine, ensuring alignment with company goals and industry standards.
Project Leadership: Collect requirements from in-house chatbot stakeholders including PMs, in-house chatbot core team, and ML team.
Technological Leadership: Build core chatbot’s evaluation and continuous improvements systems components.
Mentorship: Mentor and guide junior colleagues, fostering a culture of learning and development within the team.
Research Engagement: Actively participate in bi-weekly machine learning paper review meetings, staying abreast of the latest developments and integrating relevant findings into our work.
RAG Research Tracking: Actively track advancements in Retrieval-Augmented Generation (RAG), advanced RAG methodologies, and RAG evaluation research.

You will be successful in this role if you have:

At least 2 years of experience leading machine learning projects
6+ years experience implementing LLM-based (or similar) solutions in production
Experience working with Python and its machine learning libraries
Experience working with Spark or other distributed computations framework
Experience mentoring other Machine Learning team members
Algorithms and data structures knowledge
Ability to grasp new technologies very quickly
Ability to work effectively and independently as well as part of a team
Ability to communicate clearly and effectively, both in writing and verbally in English

Benefits

Become part of our "Winning Culture" and work on award-winning
Corporate Social Responsibility and DEI standards (Diversity, Ethics and Inclusion) are very important to us and go far beyond the usual - especially in the current political climate!
We offer a company own learning platform! Our goal is to help you realize your individual potential!
International work opportunities abroad
"Wellbeing & Employee Assistance Program": Your (mental) health is important to us and is treated confidentially by a neutral party!
Solid qualification-, performance- & competence-based remuneration model, attractive pension scheme and various allowances
Bonus/referral/incentive/recognition programs - we want you to feel appreciated at Unisys!
Extended health insurance coverage also for private use
Free parking lots and a bike garage for storage

Salary Range: up to 96.600 EURO gross (before tax) annually depending on your competencies, skills and experience

#LI-LO1

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected] or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.

Unisys

Website: https://www.unisys.com/

Headquarter Location: Rio De Janeiro, Rio de Janeiro, Brazil

Employee Count: 10001+

Year Founded: 1986

IPO Status: Private

Industries: Information Technology ⋅ Internet

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