Job Description

Lead Machine Learning Engineer Description

Are you ready to redefine technological innovation as a Lead Machine Learning Engineer ?

We are looking for a motivated professional with a strong machine learning and data engineering background who is prepared to develop and implement transformative solutions. In this role, you will work alongside diverse teams to engineer strategic solutions beyond traditional machine-learning boundaries. You will have the opportunity to lead groundbreaking projects and accelerate your career. Our workspace encourages innovation, supports professional growth, and celebrates every milestone.

If you thrive on solving complex problems and aspire to make a significant impact, we invite you to and join us.

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

Responsibilities

• Lead and contribute to ML pipeline design, development, and operating lifecycle based on best practices
• Develop and deploy complex AI/ML solutions on cloud infrastructure using ML engineering and MLOps workflows and tools capable of scaling in response to evolving business and technical needs
• Create infrastructure and architecture diagrams
• Collaborate with data scientists and engineering team to optimize ML pipeline performance
• Allocate tasks to junior ML engineers and ensure task completion
• Improve coding practices, support code reviews and introduce best practices for model management
• Provide thought leadership in terms of new technologies and tools, suggest improvements
• Support the interview process to hire junior and senior ML engineers

Requirements

• Production experience in AI/ML engineering and leadership
• Proficiency in machine learning model development
• Understanding of best practices in software engineering, data management, testing and deployment
• Expertise in building scalable, reliable and maintainable ML systems
• 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: GCP, AWS, Azure
• Production experience with some of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, TensorFlow Extended

Nice to have

• Competency in the Apache Spark Ecosystem
• Expertise in LLM/GenAI

We offer

• 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, Get Abstract, O'Reilly
  • Free English classes with certified teachers
• We cover it all: :
  • 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
  • Discounts for fitness clubs and sports programs
  • Benefits package (sports activities, a variety of stores and services)

EPAM Kyrgyzstan is a team of technologists and innovators united by a passion for technology. In 2022, we opened our first office in Bishkek that works with the world's leading companies across many different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.

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