Machine Learning Engineer

What Success Looks Like In This Role

In this role, you will play a pivotal part in shaping the technological vision and driving the development of our AI Knowledge Curation platform, which analyzes millions of customer support tickets from Fortune 500 enterprises to identify opportunities for knowledge base improvement. The following points may give you a good overview of specific tasks:

• Core Development: Lead and contribute hands-on to the design, implementation, and optimization of ML pipelines for ingesting, processing, and analyzing high-volume customer support data.
• Research and Experimentation: Drive research initiatives exploring state-of-the-art techniques in large-scale text analytics, clustering, topic modeling, and advanced LLM prompting strategies, integrating relevant findings into the product.
• Evaluation and Benchmarking: Design and implement rigorous evaluation frameworks to measure the accuracy, impact, and business value of knowledge recommendations generated by the system.
• Collaboration: Partner closely with Product, Data Engineering, and Customer Success teams to translate business requirements into ML solutions and ensure the system delivers measurable value to enterprise customers.
• Mentorship and Guidance: Provide technical leadership and mentorship to less experienced engineers on the team, promoting a culture of knowledge sharing, high standards, experimentation, and continuous learning.
  
  

You will be successful in this role if you have:

• At least 3 years of experience in software engineering/machine learning projects
• 1+ 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
  
  

Why Unisys?

• 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 use after 1-year tenure (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
  
  

Salary: up to 72.000 € gross annually based on competencies and skills

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.