What success looks like in this role:

We are seeking an experienced Senior Machine Learning Engineer to join our team. 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. 
 

Key Responsibilities: 

- 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 projects6+ years experience implementing LLM-based (or similar) solutions in productionExperience working with Python and its machine learning librariesExperience working with Spark or other distributed computations frameworkExperience mentoring other Machine Learning team membersAlgorithms and data structures knowledgeAbility to grasp new technologies very quicklyAbility to work effectively and independently as well as part of a teamAbility to communicate clearly and effectively, both in writing and verbally in English

Benefits

Become part of our "Winning Culture" and work on award-winningCorporate 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 allowancesBonus/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: 64.200 - 102.800 EURO gross (before tax) annually depending on your competencies, skills and experience

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