We are looking for a Lead Data & MLE Engineer to join our team.ResponsibilitiesCreate 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 teamsDevelop 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 solutionsRequirementsBachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field5+ years’ experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations5+ years of IT platform implementation experienceExperience 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 technologiesExperience with analytic solutions applied to the Marketing or Risk needs of enterprisesBasic understanding of machine learning fundamentalsAbility to take Machine Learning models and implement them as part of data pipelineExperience 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 requiredNice to haveMasters or PhD in Computer Science, Physics, Engineering or Math3+ years of experience developing cloud software services and an understanding of design for scalability, performance, and reliabilityHands on experience working on large-scale data science/data analytics projects. Ability to lead effectively across organizationsHands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, Mlib or Storm/SamzaExperience in implementing AWS services across various distributed computing and enterprise environmentsProficiency in at least one of the languages such as C++, Java, Scala, or PythonExperience 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 customersExperience defining system architectures and exploring technical feasibility trade-offsExperience working on a code base with many contributorsAbility to prototype and evaluate applications and interaction methodologies. Experience with AWS technology stackWritten and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiencesWe offerWork on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in UkraineReceive the necessary equipment to perform your work tasksChange projects and technology stacks within EPAMGain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)Consider relocation options in over 30 countries worldwideParticipate 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 colleaguesImprove 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 CloudsUse the internal E-learn training program (18,200+ specialized training and mentoring programs)Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resourcesStudy at EPAM Solution Architecture School with the instructors who are practicing architectsDevelop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and moreParticipate 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 ratesCompany support during significant life events (childbirth or adoption, marriage, etc.)Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic trainingE-kids program - a free programming language training program for EPAMers' childrenEPAM 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.The remote option applies only to the Candidates who will be working from any location in Ukraine.