What success looks like in this role:
We are collaborating with Fortune 500 companies to revolutionize their employees' workplace experiences using Generative AI-powered Enterprise Personal Assistants. In this role, you'll be at the forefront of innovation with Large Language Models (LLMs), driving significant advancements in this exciting field.
Responsibilities:
Operationalize Machine Learning (ML) solutions, transforming theoretical models into practical applications.
Actively contribute to Machine Learning feasibility studies, evaluating potential solutions and their applicability.
Regularly participate in bi-weekly meetings focused on reviewing recent ML papers, contributing insights and staying abreast of current trends.
Develop and follow a professional skills development plan, with support provided as needed to ensure continuous growth and learning.
#LI-AB1
You will be successful in this role if you have:
Minimum 3 years of experience in Software Engineering or Machine Learning Engineering.
Proven experience working on LLM-based applications, demonstrating a deep understanding of their development and operationalization.
Extensive experience with programming languages, particularly Python and SQL.
Profound knowledge of algorithms and data structures.
A solid background in statistics and/or mathematics.
Familiarity with at least one major cloud service provider (Azure, Amazon Web Services, or Google Cloud).
Practical experience with Apache Spark.
Quick learner with the ability to grasp new technologies swiftly.
Strong capability to work effectively and independently, as well as collaboratively in a team setting.
Excellent communication skills, both written and verbal, in English
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 GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

Senior Machine Learning Engineer