Machine Learning Engineer (NLP)
Machine Learning Engineer (NLP)
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Job Description
What success looks like in this role:
Join our team and work with Fortune 500 companies to revolutionize IT Service Management (ITSM) processes using cutting-edge large language models (LLMs) for knowledge curation and content generation. As an LLM Engineer you will have the opportunity to experiment design and own end-to-end generative AI solutions that significantly enhance knowledge management for global enterprises.
Hereby the tasks that are waiting for you:
Lead the development of LLM-powered ITSM knowledge curation and content generation solutions for Fortune 500 customers.
Conduct feasibility studies for LLM-based solutions and contribute to their operationalization.
Design fine-tune and deploy LLM-based knowledge generation models.
Establish coding standards and best practices within the engineering team.
Own MLOps processes for LLM deployment and monitoring.
Innovate and experiment with generative AI models to push the boundaries of knowledge management.
Develop and own features that have a direct impact on knowledge curation for large-scale enterprise environments.
Receive support through professional development plans to help you excel in this high-impact role.
You will be successful in this role if you have:
At least 4 years of experience in Software Engineering Machine Learning or LLM Engineering.
Extensive experience with Python and SQL along with expertise in NLP and large language models (LLMs).
Strong understanding of algorithms data structures and machine learning techniques.
A solid background in statistics and mathematics.
Proven experience operationalizing machine learning and LLM-based solutions.
Experience working with cloud providers like Azure Amazon or Google Cloud.
Familiarity with Spark or similar big data technologies.
Ability to quickly adapt to new technologies and problem domains.
A collaborative mindset with the ability to work both independently and as part of a team.
Strong written and verbal communication skills in English.
Monthly gross 44.200 HUF cafeteria - regardless of your weekly working hours
SZEP Card and programs around kindergarten/nursery support housing support commuting support
Private Health Insurance - Premium Package provided for all Unisys associates after 6-month tenure
Life & accident insurance
Loads of flexibility with our home office allowance (if applicable)
Last and foremost a great team also a lot of learning and training opportunities
#LI-PJ1
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 or alternatively Toll Free: (Prompt 4). US job seekers can find more information about Unisys EEO commitment here.
Employment Type
Full-Time
