Lead Data &MLE Engineer in EPAM Systems

We are looking for Lead Data & MLE Engineer to join our teamResponsibilitiesCreate 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 teamsExperience 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 technologiesDevelop and define key business questions and to build data sets that answer those questions. You should be able to work with business customers in understanding the business requirements and implementing 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 implementationsExperience 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 pipeline5+ years of IT platform implementation experienceExperience 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 MathHands 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/SamzaImplementing AWS services in a variety of distributed computing, enterprise environmentsProficiency with at least one 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 have been successfully delivered to customersExperience defining system architectures and exploring technical feasibility trade-offs3+ years experiences developing cloud software services and an understanding of design for scalability, performance and reliabilityExperience 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 OfferCompetitive compensation depending on experience and skillsIndividual career pathUnlimited access to LinkedIn learning solutionsSick leave and regular vacationEnglish classes with certified English teachersFlexible work hoursMust have experienceAt least 2 AWS certifications, one of which on Associate or Professional levelAbout EPAMEPAM is a leading global provider of digitalplatform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential. EPAM is committed to providing our global team of 60,000+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інформаційні технології Галузі ІТ-послуги та ІТ Консалтинг