machine learning engineer in AI transformation

EPAM; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Opportunity to work abroad for up to 2

Relocation opportunities in 55+ países

Certifications (GCP, Azure, AWS)

Free English classes

Monetary bonuses for referrals

Medical and family care

Well-being programs

Job summary

EPAM — глобальный лидер в области AI трансформаций и инженерного консалтинга, требующий талантливых инженеров для разработки и внедрения продвинутых ML-конвейеров. Ваша роль — проектировать конвейеры feature engineering, настраивать обучение и инференс моделей, работать с большими данными и потоковыми решениями на платформах Spark и Databricks.

Вы будете обеспечивать производительность, масштабируемость и надёжность ML-решений в продакшене, а также изучать новые технологии и варианты

Qualifications

• 3+ года опыта разработки конвейеров feature engineering и моделей
• Опыт настройки offline/online pipelines
• Опыт работы с Databricks, Spark/PySpark, Python и SQL
• Опыт обработки больших данных и потоковых решений
• Знание Spark Streaming и низкой задержки
• Уровень английского B2 и выше
• Плюсом: MLflow, AWS, анализ клиентов/рекомендательных систем/розничная торговля

Responsibilities

• Проектирование и оптимизация конвейеров feature engineering
• Создание, развёртывание и поддержка конвейеров обучения и инференса
• Обработка структурированных и неструктурированных данных
• Разработка потоковых решений с Spark Streaming
• Обеспечение надёжности и производительности ML-систем в продакшене

Skills

English B2

Teamwork

Communication

Tools

Databricks

Spark

PySpark

Python

SQL

Spark Streaming

MLflow

MLOps

AWS

Job description

Описание:

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, it helps clients become AI-Native enterprises and drive measurable value from innovation and digital investments.

Задачи:

• Design and optimize feature engineering pipelines for batch and real-time workloads
• Build, deploy, and maintain scalable model training and inference pipelines
• Process structured and unstructured data at scale
• Develop streaming solutions using Spark Streaming
• Enable real-time feature generation and model serving
• Ensure the reliability, scalability, and performance of ML solutions in production

Требования:

• 3+ Years of experience building, deploying, and operating offline and online feature engineering pipelines
• Strong experience with model training and real-time inference pipelines
• Hands-on expertise in Databricks, Spark/PySpark, Python, and SQL
• Experience processing large-scale unstructured data
• Strong knowledge of Spark Streaming
• Experience with real-time feature generation and low-latency model inference
• Experience building and supporting batch pipelines for model training and retraining
• Proven track record of running production-grade ML systems
• English proficiency at B2 level or higher
• Будет плюсом: Experience with MLflow and MLOps, experience with AWS, background in Customer Analytics, Recommendation Systems, or Retail

Условия:

• Opportunity to work abroad for up to two months per year
• Relocation opportunities within offices in 55+ countries
• Corporate and social events
• Leadership development, career advising, soft skills, and well-being programs
• Certifications, including GCP, Azure, and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts at local language schools, including offline Uzbek language courses
• Monetary bonuses for participating in the referral program
• Medical and family care package
• Four trust days per year (sick leave without a medical certificate)
• Discounts for fitness clubs, dance schools, and sports programs
• Benefits package covering sports activities, stores, and services