Senior AI Engineer (AWS, ML/LLMOps, Generative AI)

We are looking for a highly skilled Senior AI Engineer to spearhead the development of innovative AI and ML solutions, including Recommendation Systems, Data Classification, Search Optimization, and Knowledge Graphs. This role includes collaborating with a staff-augmented team to deliver cutting-edge features using AWS infrastructure and advanced ML/LLMOps practices.

Kindly note that this role supports remote work, but only from within Ukraine.

Responsibilities

• 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

• 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

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.