Lead ML Engineer

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 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: 64.200 - 102.800 EURO gross (before tax) annually depending on your competencies, skills and experience

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