We are looking for a Lead Data & MLE Engineer to join our team.

Responsibilities

• Create white papers, write blogs, build demos and other reusable materials that can be used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams
• Develop and define key business questions and build data sets that answer those questions. You should be able to work with business customers to understand the business requirements and implement solutions
  
  
  

Requirements

• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
• 5+ years’ experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations
• 5+ years of IT platform implementation experience
• Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies
• Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
• Basic understanding of machine learning fundamentals
• Ability to take Machine Learning models and implement them as part of data pipeline
• Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)
• Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc.)
• Current hands-on implementation experience required
  
  
  

Nice to have

• Masters or PhD in Computer Science, Physics, Engineering or Math
• 3+ years of experience developing cloud software services and an understanding of design for scalability, performance, and reliability
• Hands on experience working on large-scale data science/data analytics projects. Ability to lead effectively across organizations
• Hands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, Mlib or Storm/Samza
• Experience in implementing AWS services across various distributed computing and enterprise environments
• Proficiency in at least one of the languages such as C++, Java, Scala, or Python
• Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras
• Experience building large-scale machine learning infrastructure that has been successfully delivered to customers
• Experience defining system architectures and exploring technical feasibility trade-offs
• Experience working on a code base with many contributors
• Ability to prototype and evaluate applications and interaction methodologies. Experience with AWS technology stack
• Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences
  
  
  

We offer

• 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)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• 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)
• 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
  
  
  

EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.