What success looks like in this role:
We are seeking a proactive and hands-on Senior Machine Learning Engineer to join our team. In this role, you will play a pivotal part in shaping the technological vision and driving the development of our AI Knowledge Curation platform, which analyzes millions of customer support tickets from Fortune 500 enterprises to identify opportunities for knowledge base improvement. The following points may give you a good overview of specific tasks:
Technological Vision: Contribute to defining and communicating the technological roadmap for large-scale knowledge curation and analytics, ensuring alignment with company objectives and maintaining our leadership position in the market.
Core Development: Lead and contribute hands-on to the design, implementation, and optimization of ML pipelines for ingesting, processing, and analyzing high-volume customer support data.
Research and Experimentation: Drive research initiatives exploring state-of-the-art techniques in large-scale text analytics, clustering, topic modeling, and advanced LLM prompting strategies, integrating relevant findings into the product.
Evaluation and Benchmarking: Design and implement rigorous evaluation frameworks to measure the accuracy, impact, and business value of knowledge recommendations generated by the system.
Collaboration: Partner closely with Product, Data Engineering, and Customer Success teams to translate business requirements into ML solutions and ensure the system delivers measurable value to enterprise customers.
Mentorship and Guidance: Provide technical leadership and mentorship to other engineers on the team, promoting a culture of high standards, experimentation, and continuous learning.
You will be successful in this role if you have:
- At least 5 years of experience leading machine learning projects
- 3+ years experience implementing LLM-based (or similar) solutions in production
- Experience working with Python and its machine learning libraries
- Experience working with Spark or other distributed computations framework
- 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
What do we offer?
Become part of our "Winning Culture" and work on prestigious clients worldwide
Corporate Social Responsibility and DEI (Diversity, Equity, and Inclusion) standards are especially important to us and go far beyond the usual especially in times like these
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!
"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!
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 and accident insurance
Loads of flexibility with our home office allowance
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 [email protected] or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.
