What success looks like in this role:
• Generate Machine Learning application ideas
• Define Machine Learning Vision within the team
• Drive Machine Learning projects from ideation to production
• Suggest internal processes improvements
• Mentor younger colleagues
• Participate in bi-weekly Machine Learning papers review meetings
You will be successful in this role if you have:
• At least 4 years of experience leading machine learning projects
• Experience implementing LLM-based solutions in production
• Experience working with Python and its machine learning libraries
• Experience working with Spark or other distributed computations frameworks
• 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
Salary Range: 50,000-75,000 EURO gross (before tax) per annum depending on your competencies, skills and experience
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.
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