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. ResponsibilitiesDesign, develop, and implement AI, Generative AI, and ML solutions aligned with business needsBuild and fine-tune predictive models for customer retention, search optimization, and specialized language capabilitiesDevelop data aggregation, normalization, and enrichment workflows to empower intelligent insightsUtilize AWS services such as SageMaker, compute, and storage to deploy reliable and scalable cloud infrastructuresCreate and deploy recommendation systems for delivering personalized insights and enhancing user experiencesLeverage knowledge graphs and entity linking for data enrichment and semantic understandingImplement context-aware AI solutions to deliver enhanced search capabilities based on user intentDevelop dashboards and scoring mechanisms for decision-making and user-focused analyticsSet up automated alerts and strategies based on machine learning risk thresholdsCollaborate with team members to define research goals and implement intelligent research tools using APIsBuild and maintain machine learning pipelines following ML/LLMOps best practices, including deployment and monitoringApply domain expertise in training models using diverse data sources, both structured and unstructured Requirements3+ years of experience in AI, ML, and MLOps, with a track record of developing and deploying production-grade solutionsExpertise in AWS tools and services such as SageMaker, compute, and storageProficiency in Python and frameworks such as TensorFlow, PyTorch, and Scikit-learnSkills in ML/LLMOps to implement CI/CD workflows and manage the scalability of deployed modelsFamiliarity with recommendation systems, semantic data, and retrieval-augmented generation (RAG) frameworks such as LangChain or LlamaIndexKnowledge of advanced search engine optimization techniques and context-aware modelsBackground in creating domain-specific language models for high accuracy in specialized research fieldsUnderstanding of data enrichment techniques, entity linking, and the construction of knowledge graphsCapability to implement symbolic AI and domain-tuned techniques for specialized use casesExcellent command of written and spoken English (B2+ level) Nice to haveExperience with AWS Lambda and AWS Step Functions for workflow orchestrationFamiliarity with academic and research data trends, discovery methods, and prediction modelsShowcase of building scalable AI-driven automated systems enhanced by RAG techniquesCompetency in enhancing medical reasoning and crafting intelligent research tools We offerWith us you can:Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in UkraineReceive the necessary equipment to perform your work tasksChange projects and technology stacks within EPAMGain 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 locationsParticipate 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 managerReceive regular feedback from colleaguesImprove 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 CloudsUse the internal E-learn training program (18,200+ specialized training and mentoring programs)Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resourcesStudy at EPAM Solution Architecture School with the instructors who are practicing architectsDevelop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and moreParticipate 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 ratesCompany support during significant life events (childbirth or adoption, marriage, etc.)Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic trainingE-kids program - a free programming language training program for EPAMers' children Kindly note that this role supports remote work, but only from within Ukraine. 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 61,700 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.