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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Engineer (Personalization & AI Models) - **Company:** EPAM Systems, Inc. - **Location:** Newtown, PA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Recommender Systems, Redis, Tensorflow, Tableau (Software), Feature Engineering, Pytorch, Large Language Models, Snowflake, Apache Spark, Deep Learning, Event Driven Architecture, Data Lakes, Machine Learning Operations, Stream Analytics, Looker Analytics, Databricks, Programming Languages - **Published:** September 5, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/phpw1wnilw ## About the Role * Strong experience in Machine Learning, Deep Learning, and AI-driven personalization * Proficiency in Python, PyTorch, and TensorFlow * Expertise in vector-based search and recommendation systems, including knowledge of KNN, PGVector, Redis * Hands-on experience with AWS Personalize SDK and SageMaker or similar ML training pipelines * Familiarity with Databricks, Delta Lake, and Apache Spark for large-scale model training and deployment * Strong understanding of real-time personalization, A/B testing, and user segmentation models * Capability to work with event-driven architectures and implement real-time feature engineering * Fluent English communication skills at a B2+ level Nice to have * Knowledge of ML model monitoring, MLOps, and automation of ML pipelines through CI/CD * Experience with Graph Neural Networks (GNNs) for analyzing user similarity and clustering * Familiarity with deployment of real-time analytics tools and dashboarding, such as Looker, Tableau, or Snowflake ## Description The focus areas will include multi-vector representations, real-time model inference, and the integration of personalization workflows with cutting-edge technologies including AWS Personalize SDK, PGVector, and RudderStack., * Develop and optimize embedding models using sentence-transformer models for user profiles and personalization * Implement KNN-based recommendation systems for real-time content scoring and ranking * Utilize AWS Personalize SDK to train and deploy machine learning models that dynamically adapt to user behavior * Integrate embedding models with Databricks, RudderStack, and AWS services to ensure real-time profile updates * Fine-tune ML models aimed at boosting revenue predictions, enhancing user engagement, and refining audience segmentation * Optimize PGVector and Redis for efficient vector-based lookups and caching * Collaborate with data engineers to devise ML pipelines for robust training, validation, and deployment processes, * 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 ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)