Overview

We are looking for a Lead 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

  • 5+ experience in AI/ML engineering and leadership
  • Skilled in deploying machine learning models to production
  • Understanding of best practices in software engineering, data management, testing and deployment
  • Expertise in building scalable, reliable and maintainable ML systems
  • Experience with some of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, Databricks, GCP Vertex AI
  • Strong communication and interpersonal skills to liaise with senior business stakeholders, clients and team members
  • Ability to work in a fast-paced, deadline-driven environment, mentor junior team members and provide technical leadership
  • Strong knowledge of Python development
  • Familiarity with cloud-native services: AWS, Azure, GCP

Kazakhstan (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 online courses for the Kazakh language

We cover it all:

  • Participation in the Employee Stock Purchase Plan 
  • Monetary bonuses for engaging in the referral program 
  • Medical & family care package   
  • Six trust days per year (sick leave without a medical certificate)   
  • Coverage of psychology sessions of your choice
  • Benefits package (sports activities, a variety of stores and services)

[epamgdo] Kazakhstan (Hybrid)

This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.

[epamgdo] Kazakhstan (About EPAM)

EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.