Lead Machine Learning Engineer

WHY EPAM?

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on 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 continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

DESCRIPTION

You are curious, persistent, logical and with a growth mindset - 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 Lead Machine Learning Engineer.

• Deploy and monitor machine learning algorithms in production environment
• Design, create, maintain, troubleshoot, and optimize the performance of complete end-to-end ML deployment lifecycle
• Build frameworks for data scientists to accelerate the development of production-grade ML models
• Establish and configure CI/CD/CT processes
• Identify technical risks and gaps, devise mitigation strategies
• Evaluate new tools and techniques
• Promote and support MLOps practices

• 5+ years production experience as ML Engineer or Data Engineer
• Team management experience
• Confirmed team or project leading experience
• Several years of experience working with one of the major cloud providers (such as AWS, Azure, GCP)
• Experience in Python development and the Python ML ecosystem
• Good understanding of the ML fundamentals, data preparation and feature engineering
• Experience with automated data pipeline and workflow management tools
• Experience with basic software engineering tools, e.g., git, CI/CD environment, PyPi, Docker, Kubernetes
• Experience with one of the infrastructure as a code (IoC) frameworks (e.g.: Terraform / CDK TF, Ansible, AWS CloudFormation / AWS CDK, etc.)
• Agile development experience
• Problem-solving skills and strong decision-making skills
• Ability to foster new ideas and concepts
• Ability to bring strong opinions and constraints to a generally agreed solution design
• Ability to mentor and coach other team members
• Clear, concise communication skills and good command of written and spoken English

• Experience with at least one of the MLOps related platforms or technologies (such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, Argo Workflow, TensorFlow Extended (TFX), etc.)
• Understanding of the Apache Spark ecosystem (Spark SQL, MLlib/Spark ML)
• Software architecture and design experience
• Able to conduct technical interviews

• Opportunity to engineer your future
• Personal development program that will allow you to be valued for your strengths
• Wide range of professional trainings and workshops
• Broad projects variety and possible mobility between projects over the time
• Collaborate in a multicultural environment and exchange best practices with colleagues around the world
• Varied social benefits; Sports, Transportation and Health programs
• Employee Stock Purchase Plan
• Work-life balance and flexible schedule, team buildings and sport opportunities
• Modern office in the new Infinity Tower business center
• Remote By Design™ - we provide you with virtual working environment making you able to be productive and work from any location - being your home, a nice sunny terrace, summer or any of the EPAM offices all around the globe

• Send us your up-to-date CV or LinkedIn profile, representing your skills and past projects' achievements
• We'll get in touch with you and help you ensure you've identified the most suitable role we have for you based on your strengths and passion
• We'll invite you for follow up technical conversations with your potential future colleagues and/or project, which can be done face to face in a calm meeting room at our office or via video conferencing call from your cozy place
• At the end we will align how we can best proceed further in a mutual agreement
• P.S. Want to prepare better and Grow yourself? Check our training and development resources and tailor your own PDP - free for any passionate IT professional at https://grow.telescopeai.com