We are looking for 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
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
Develop 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 solutions

Requirements

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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
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
5+ years of IT platform implementation experience
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
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
Implementing AWS services in a variety of distributed computing, enterprise environments
Proficiency 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 customers
Experience defining system architectures and exploring technical feasibility trade-offs
3+ years experiences developing cloud software services and an understanding of design for scalability, performance and reliability
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

Must have experience

About EPAM

EPAM is a leading global provider of digital platform 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

Lead Data &MLE Engineer