What success looks like in this role:
We are seeking a proactive and hands-on Machine Learning 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 and development. You will be working on the knowledge ingesting and ML-based analytics of the ingested data. The following points may give you a good overview of specific tasks:
- Technological Vision: Contribute to developing and articulating the technological vision for our in-house chatbot knowledge ingestion, ensuring alignment with company goals and industry standards.
- Core Development: Hands-on contribute to the chatbot knowledge ingestion and monitoring.
- Research and Experimentation: Track and experiment with advancements in Retrieval-Augmented Generation (RAG) methodologies and evaluation techniques, integrating relevant findings into our work.
- 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:
- Minimum of 3 years of experience in machine learning and/or data engineering projects, demonstrating a track record of successful project delivery.
- Proven experience in implementing LLM-based solutions in production environments, with a deep understanding of the associated challenges and best practices
- Proficiency in Python and its data wrangling libraries (e.g., Pandas).
- Good understanding of standard ML algorithms.
- Sound understanding of software design principles.
- Strong knowledge of algorithms and data structures, with the ability to apply this knowledge to solve complex problems.
- Quick to grasp new technologies and concepts, staying ahead in a rapidly evolving field.
- Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences in English
Benefits
- Become part of a Fortune500 award-winning company and our "Winning Culture"!
- Corporate Social Responsibility and DEI standards (Diversity, Ethics and Inclusion) are very important to us and go far beyond the usual!
- 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
- "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 allowances
- Bonus/referral/incentive/recognition programs - we want you to feel appreciated at Unisys!
- Extended health insurance coverage also for private use
- Get the chance to work end-to-end on top secret & avantgarde projects in hybrid work model
- Monthly gross 35.000 HUF cafeteria - regardless of your weekly working hours
- Private Health Insurance - Generali Premium Package provided for all Unisys associates
- Home office allowance possible
- Last and foremost, a great team, also a lot of learning and training opportunities
#LI-LO1
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 [email protected] or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.
