ML Technical Lead - RAG

What Success Looks Like In This Role

We are seeking a proactive and hands-on Mid-Level Machine Learning Software Engineer to join our team. In this role, you will play a crucial part in advancing our in-house LLM-powered chatbot technologies through active research, development, tuning, and implementation. You will focus on tracking and experimenting with advancements in Retrieval-Augmented Generation (RAG), tuning chatbot prompts, and implementing core improvements to our chatbot system.

Key Responsibilities

• Technological Vision: Contribute to developing and articulating the technological vision for our in-house chatbot evaluation and analytics engine, ensuring alignment with company goals and industry standards.
• Core Development: Hands-on contribute to the chatbot core development.
• Research and Experimentation: Track and experiment with advancements in Retrieval-Augmented Generation (RAG) methodologies and evaluation techniques, integrating relevant findings into our work.
• Prompt Tuning: Tune in-house chatbot prompts to enhance performance and user experience based on ongoing experiments and evaluations.
• Research Engagement: Participate in bi-weekly machine learning paper review meetings, staying abreast of the latest developments and integrating relevant findings into our work.
  
  

You will be successful in this role if you have:

Experience: Minimum of 2 years of experience in machine learning and/or data engineering projects, demonstrating a track record of successful project delivery.

• LLM Implementation: Proven experience in implementing LLM-based solutions in production environments, with a deep understanding of the associated challenges and best practices.
• Proficiency in Python: Proficiency in Python and its machine learning libraries (e.g., Pandas, scikit-learn).
• RAG Expertise: Strong understanding and experience with Retrieval-Augmented Generation (RAG) techniques, including tracking and experimenting with the latest advancements.
• Algorithm and Data Structures: Strong knowledge of algorithms and data structures, with the ability to apply this knowledge to solve complex problems.
• Adaptability: Quick to grasp new technologies and concepts, staying ahead in a rapidly evolving field.
  
  

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, 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 GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.