EPAM Systems

Senior Machine Learning Engineer

Job description

EPAM is looking for a hands-on Senior Machine Learning Engineer to be part of the continued acceleration to strengthen our business in Western Europe.
We do not believe in collecting data without purpose. Analysis by seasoned experts can bring actionable information to organizations when they need it most. Whether our clients are looking to make better decisions for business development or create platforms and solutions that utilize data to streamline and improve operations—we are data-driven, business outcome oriented and we want to help our clients and partners by delivering innovative solutions to their most challenging problems.

What You’ll Do

  • Be responsible for the transition of machine learning algorithms to production environment and integration with enterprise ecosystem
  • Design, create, maintain, troubleshoot, and optimize the complete end-to-end machine learning life cycle
  • Write specifications, documentation, and user guides for developed solutions
  • Build frameworks for data scientists to accelerate the development of production-grade machine learning models
  • Collaborate with data scientists and engineering team to optimize the performance of ML pipeline
  • Constant improvement of SDLC practices
  • Exploration of new tools and techniques and propose improvements
  • Establish and configure CI/CD/CT processes
  • Design and maintain ML models continuous training
  • Provide capabilities for early detection of various drifts (data, concept, schema., etc,)
  • Promote and support MLOps practices
  • Continuously identify technical risks and gaps, devise mitigation strategies
  • Identify and eliminate technical debt in machine learning systems

What You Have

  • 5+ years of different backend experience (any of Java, C#, Python, etc)
  • 1+ years of experience building and working on search systems based on Elasticsearch, Solr, Lucene, Coveo, Vespa, etc
  • Understanding of query lifecycles, ingestion of the data. Knowledge of different built-in capabilities of those engines

Nice to have

  • Understanding of the cluster sizing, how to write custom plugins for Solr & Elasticsearch
  • Experience working with ETL tools such as Logstash, Talend, AWS Glue or similar
  • NLP experience (spacy, nltk, word2vec, etc)
  • Experience in different business domains (e-commerce, publishing, finance, etc.)

We offer

  • Competitive compensation depending on experience and skills
  • Opportunity to work on leading edge platforms, working in a fast-paced, agile, software engineering culture
  • Knowledge-sharing with colleagues from EPAM's global tech communities
  • Unlimited access to LinkedIn learning solutions
  • Regular performance feedback and salary reviews
  • Opportunities for professional growth
  • EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
  • Some of these benefits may be available only after you have passed your probationary period


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