Machine Learning Hiring Challenge

Jobs
EPAM Systems

EPAM Systems

-

🌎 Remote

Posted on: 10 October, 2025

Machine Learning Hiring Challenge

We are looking for Senior-level (or higher) Machine Learning Engineers.

This is an excellent opportunity to join our awesome team with no exhausting wait times. Also, a chance to receive not just an offer within 48 hours after a single online interview, but also a sign‑on bonus of $2,000 for Senior specialists and $3,000 for Lead level and above.

The process is simple: reply to this post, wait for confirmation of your participation and invitation to interview, and take the interview. All of this can be done online. Then wait (but not for long) — you’ll receive the offer or feedback within 48 hours.

Kindly note that this role supports remote work, but only from within Ukraine.

RESPONSIBILITIES

  • Review and analyze existing DS models, adjust and parameterize them as needed
  • Design, build, maintain, troubleshoot, and optimize the full machine learning lifecycle, which includes
  • Model optimization
  • Data preparation
  • Feature extraction
  • Model performance monitoring
  • Collaborate with data scientists and engineers to optimize the performance of ML pipelines
  • Establish and configure processes for continuous integration and deployment (CI/CD) of software
  • Continuously learn about designing and maintaining ML models
  • Provide capabilities for early detection of various drifts (data, concept, schema, etc.)

REQUIREMENTS

  • Experience building applications using generative AI models
  • Expertise in prompt engineering and RAG architectures
  • Proficiency in Python
  • Knowledge of modern AI/ML frameworks (e.g., LangChain)
  • Familiarity with vector databases and embedding models
  • Understanding of responsible AI usage principles and strategies to minimize hallucinations
  • Experience working with cloud AI services (e.g., OpenAI API, Azure AI)

NICE TO HAVE

  • Experience building asynchronous applications
  • Expertise in rapid prototyping
  • Knowledge of LLM tracing, datasets for evaluation, and experiment management
  • Understanding of evaluation techniques for RAG systems or other LLM architectures
  • Experience building solutions for industries such as life sciences, finance, or insurance
  • Experience with tools for automated prompt optimization (e.g., DSpy)

WE OFFER

  • With us you can
  • Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
  • Receive the necessary equipment to perform your work tasks
  • Change projects and technology stacks within EPAM
  • Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
  • Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
  • Participate in volunteer, charity programs and communities (both technical and interest-based)
  • We focus on your professional growth
  • You can plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
  • Study at EPAM Solution Architecture School with the instructors who are practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
  • What we offer
  • Vacation and sick leave (including a sick leave without a medical certificate)
  • A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
  • Medical insurance for family members at corporate rates
  • Company support during significant life events (childbirth or adoption, marriage, etc.)
  • Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
  • E-kids program - a free programming language training program for EPAMers' children

Tags:
ai
ml
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