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

Requirements

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

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

Machine Learning Engineering & 6 others