Senior Machine Learning Engineer

New York, NY, USA

Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of 25,900+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.


You are curious, persistent, logical and clever a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Senior Machine Learning Engineer. Scroll down to learn more about the position’s responsibilities and requirements.

What You’ll Do

  • Communicate with business stakeholders to understand requirements and expectations for ML models, define evaluation metrics;
  • Collect, process and cleanse data from a wide variety of sources. Transform and convert unstructured data set into structured data for algorithm input;
  • Explore datasets in notebooks, reveal trends and patterns, communicate insights to business users;
  • Develop and prototype predictive models in Python stack for structured data, TensorFlow/Keras for neural networks, Spark MLLib for big data;
  • Quickly iterate over multiple hypothesis and approaches to data processing and modeling;
  • Iterate, and innovate on Machine Learning algorithms in collaboration with Machine Learning Engineers and Software Engineers;
  • Deliver results in dynamic environments, PoC/MVP engagements;
  • Deliver a prototype in notebooks, modeling pipeline in Python/Scala/Java code, and/or demo for business users & collect feedback.

What You Have

  • Primary skills and technologies:
    • Minimum of 3 years in a Data Scientist/ML Engineer role;
    • Experience working with business stakeholders, product development teams and/or with other developers;
    • Strong experience with Machine Learning (tabular data);
    • Proven experience with Deep Learning (preferably, with sequential data);
    • Experience with extracting data from any enterprise RDBMS;
    • Python (TensorFlow, scikit-learn, boosting), Spark MLlib, SQL.
  • Secondary skills:
    • Natural Language Processing (NLP) techniques and tools;
    • Scala or Java.

What We Offer

  • Medical, Dental and Vision Insurance (Subsidized);
  • Health Savings Account;
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter);
  • Short-Term and Long-Term Disability (Company Provided);
  • Life and AD&D Insurance (Company Provided);
  • Matched 401(k) Retirement Savings Plan;
  • Paid Time Off;
  • Legal Plan and Identity Theft Protection;
  • Accident Insurance;
  • Employee Discounts;
  • Pet Insurance.