Design, develop, and implement AI, Generative AI, and ML solutions aligned with business needs
Build and fine-tune predictive models for customer retention, search optimization, and specialized language capabilities
Develop data aggregation, normalization, and enrichment workflows to empower intelligent insights
Utilize AWS services such as SageMaker, compute, and storage to deploy reliable and scalable cloud infrastructures
Create and deploy recommendation systems for delivering personalized insights and enhancing user experiences
Leverage knowledge graphs and entity linking for data enrichment and semantic understanding
Implement context-aware AI solutions to deliver enhanced search capabilities based on user intent
Develop dashboards and scoring mechanisms for decision-making and user-focused analytics
Set up automated alerts and strategies based on machine learning risk thresholds
Collaborate with team members to define research goals and implement intelligent research tools using APIs
Build and maintain machine learning pipelines following ML/LLMOps best practices, including deployment and monitoring
Apply domain expertise in training models using diverse data sources, both structured and unstructured

Requirements

3+ years of experience in AI, ML, and MLOps, with a track record of developing and deploying production-grade solutions
Expertise in AWS tools and services such as SageMaker, compute, and storage
Proficiency in Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn
Skills in ML/LLMOps to implement CI/CD workflows and manage the scalability of deployed models
Familiarity with recommendation systems, semantic data, and retrieval-augmented generation (RAG) frameworks such as LangChain or LlamaIndex
Knowledge of advanced search engine optimization techniques and context-aware models
Background in creating domain-specific language models for high accuracy in specialized research fields
Understanding of data enrichment techniques, entity linking, and the construction of knowledge graphs
Capability to implement symbolic AI and domain-tuned techniques for specialized use cases
Excellent command of written and spoken English (B2+ level)

Nice to have

Experience with AWS Lambda and AWS Step Functions for workflow orchestration
Familiarity with academic and research data trends, discovery methods, and prediction models
Showcase of building scalable AI-driven automated systems enhanced by RAG techniques
Competency in enhancing medical reasoning and crafting intelligent research tools

We offer/Benefits

With us you can:

Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
Receive the necessary equipment to perform your work tasks
Change projects and technology stacks within EPAM
Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

You can plan your individual career path together with your manager
Receive regular feedback from colleagues
Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
Study at EPAM Solution Architecture School with the instructors who are practicing architects
Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

Vacation and sick leave (including a sick leave without a medical certificate)
A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
Medical insurance for family members at corporate rates
Company support during significant life events (childbirth or adoption, marriage, etc.)
Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
E-kids program - a free programming language training program for EPAMers' children

AI Engineering & 14 others