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
What do we offer?
Become part of our "Winning Culture" and work on prestigious clients worldwide
Corporate Social Responsibility and DEI (Diversity, Equity, and Inclusion) standards are especially important to us and go far beyond the usual especially in times like these
Our Unisys University is available to you according to your individual needs. An MBA sponsorship program is also available! 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!
Monthly gross 44.200 HUF cafeteria - regardless of your weekly working hours
SZEP Card and programs around kindergarten/nursery support, housing support, commuting support
Private Health Insurance - Premium Package provided for all Unisys associates after 6-month tenure
Life and accident insurance
Loads of flexibility with our home office allowance
Last and foremost, a great team, also a lot of learning and training opportunities
#LI-PJ1
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.
