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What Success Looks Like In This Role
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.
- Works closely with Engineering teams and colleagues, helping them build product features based on AI / ML models.
- Acts solution-driven in the creation of feature / solutions within the team
- Contributes to the definition of code and ML quality standards and ensures consistent tracking.
- Recommends new / emerging technologies and best practices, looking for ways to enhance product / project effectiveness and strengthen overall AI / ML processes.
- Keeps up to date with advanced technologies looking for ways to adapt and apply within Unisys.
- Leads design discussions regarding key elements of new and existing AI / ML services.
- Holds accountability for assigned project or sub-projects.
- Connects AI / ML technology with Unisys and clients’ business goals to solve real-life problems.
- At least 4 years of experience in software engineering/machine learning projects
- 2+ 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
- Algorithm, data / ml pipeline and data structure 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
- Become part of our "Winning Culture" and work on award-winning projects in a high-end technological setting
- Corporate Social Responsibility and Inclusion standards 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!
- "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 usage from day 1 (premium package)
- Hybrid work model (3 days onsite /2 days flexible) and great camaraderie, whilst working with Lithuania and global top talent
- Free parking lots and a bike garage for storage
- Last and foremost, a great team, also a lot of learning and training opportunities
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.
Key Skills
Ranked by relevance
ai
machine learning
python
spark
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- Posted
- Dec 18, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Vilnius
- Company
- Unisys
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-08
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