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# Senior AI Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** Newtown, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Python (Programming Language), Machine Learning, Recommender Systems, Unstructured Data, Feature Engineering, Pytorch, Deep Learning, Pyspark, Apache Kafka, Machine Learning Operations, Feature Extraction, Stream Processing
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u4r8d2hj

## About the Role

* 3+ years of experience in machine learning engineering or a related field
 * Expertise in MLOps practices for managing the ML lifecycle
 * Proficiency in PySpark and Python for building scalable data and ML pipelines
 * Background in designing and deploying production-grade ML systems
 * Understanding of batch and real-time data processing architectures
 * Experience working with large-scale structured and unstructured datasets
 * English proficiency at B2 level or higher

Nice to have

 * Familiarity with Apache Kafka and MLflow
 * Knowledge of Machine Learning and PyTorch

## Description

* Own end-to-end lifecycle of ML systems: problem formulation, data collection, feature engineering, model training, evaluation, deployment, and monitoring
 * Design and implement scalable ML architectures including batch and real-time pipelines
 * Work with large-scale structured and unstructured datasets such as clickstream, transactional, text, and image data
 * Develop and deploy models such as recommendation systems, ranking models, forecasting models, and classification/regression systems
 * Apply deep learning techniques including neural networks, transformers, and representation learning where appropriate
 * Build and maintain feature stores, model registries, and experiment tracking systems
 * Ensure production readiness through latency optimization, scalability, reliability, and cost efficiency
 * Collaborate with engineering, product, and business teams to define KPIs and success metrics