Overview

We are looking for a Senior Machine Learning Engineer to join our team and drive the development, deployment, and support of advanced ML solutions in a production environment. You will work in a cross-functional team, implement engineering best practices, automate ML processes, and integrate models into complex data-driven systems.

Responsibilities

  • Design, develop, and maintain production-grade machine learning models
  • Automate ML pipelines using modern tools (e.g., Databricks, Azure ML, AWS SageMaker)
  • Integrate ML solutions into complex data-driven systems
  • Work with large-scale data using Apache Spark or alternative technologies
  • Apply and promote engineering best practices and MLOps principles
  • Collaborate with Data Science, Data Engineering, DevOps, and other teams
  • Support various data processing paradigms (batch, micro-batch, streaming)
  • Utilize cloud platforms (AWS, GCP, Azure) for deploying and maintaining ML solutions

Requirements

  • 3+ years of experience as a Machine Learning Engineer in production environments
  • Knowledge of cloud platforms (AWS, GCP, Azure) in professional applications
  • Background in MLOps technologies such as AWS SageMaker, Azure ML, Databricks, or GCP Vertex AI
  • Skills in Python ML tools like NumPy, pandas, XGBoost, Keras, PyTorch, TensorFlow, and scikit-learn
  • Expertise in microservices design for model deployment
  • Familiarity with Apache Spark (e.g., Spark SQL, Spark MLlib) or similar technologies
  • Proficiency in automating workflows with tools like Airflow or Argo Workflow
  • Competency in CI/CD practices, version control (e.g., git, GitHub), and containerization with Docker
  • Understanding of diverse data processing approaches (batch, micro-batch, streaming)
  • Strong interpersonal and cross-functional team collaboration skills
  • English proficiency at Upper-Intermediate (B2) level or above

Uzbekistan (Prod)

We connect like-minded people:

  • Delivering innovative solutions to industry leaders, making a global impact 
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home 
  • Opportunity to work abroad for up to two months per year 
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events  

We invest in your growth: 

  • Leadership development, career advising, soft skills and well-being programs 
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers 

  • Discounts in local language schools, including offline courses for the Uzbek language

We cover it all:

  • Monetary bonuses for engaging in the referral program 
  • Medical & 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 (sports activities, a variety of stores and services)

[epamgdo] Uzbekistan (Remote)

Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent.

[epamgdo] Uzbekistan (About EPAM)

EPAM Uzbekistan is a team of technologists and innovators united by technology. In 2019, we opened our first office in Tashkent. Since then, we’ve built a continuously learning organization that helps its employees reach their full potential and achieve professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.