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.

Operationalize Machine Learning (ML) solutions, transforming theoretical models into practical applications.

Design, develop, and implement scalable machine learning models and systems, ensuring robustness, performance, and maintainability.

Actively contribute to Machine Learning feasibility studies, evaluating potential solutions and their applicability.

Collaborate cross-functionally with software engineers, data scientists, product managers, and other stakeholders to integrate ML models into production systems seamlessly.

Regularly participate in bi-weekly meetings focused on reviewing recent ML papers, contributing insights, and staying abreast of current trends.

Monitor and optimize the performance of ML models in production, ensuring they meet business objectives and deliver accurate, reliable results.

Conduct data analysis and preprocessing, preparing large datasets for model training, cleaning data, and selecting appropriate features for various ML algorithms.

Lead the research and experimentation of new machine learning techniques and frameworks, particularly in the areas of deep learning, reinforcement learning, and LLMs.

Ensure ML solutions meet security and compliance requirements, including responsible AI practices and data privacy standards.

Mentor junior team members, providing technical guidance, reviewing code, and fostering knowledge-sharing to elevate the team's overall capabilities.

You will be successful in this role if you have:

At least 5 years of experience leading machine learning projectsExperience implementing LLM-based 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"! An international and varied field of work with worldwide opportunities awaits you! We always strive for the optimum for our first-class customers from a wide range of industries!Corporate Social Responsibility and DEI standards (Diversity, Ethics and Inclusion) are very important to us and go far beyond the usual! Associate Impact Groups are formed on a voluntary basis to further develop and support our DEI standards internally.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!International work opportunities abroad for all employees"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 

 

Salary Range: 53,000-75,000 EURO gross (before tax) per annum depending on your competencies, skills and experience

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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.