Senior Machine Learning Engineer

Join to apply for the Senior Machine Learning Engineer role at EPAM Systems . We are searching for a Senior Machine Learning Engineer to become part of our remote team. The role includes contributing to the design, development, and management of ML pipelines following industry best practices. The position involves designing, building, maintaining, troubleshooting, and refining steps within the ML pipeline. You will also take ownership and contribute to the design and execution of ML prediction endpoints. Working alongside System Engineers to set up the ML lifecycle management environment and enhancing coding practices are crucial elements of this job. If you have a passion for innovation, we encourage you to apply and join our team Responsibilities Contribute to the ML pipeline design, development, and management following best practices Design, build, maintain, troubleshoot, and refine steps in the ML pipeline Take ownership and contribute to the ML prediction endpoints' design and execution Work with System Engineers to set up the ML lifecycle management environment Draft specifications, documentation, and user guides for developed applications Enhance coding practices and organization within the science work cycle Set up and configure pipelines for projects Continuously identify technical risks and gaps and develop mitigation strategies Work with data scientists to put predictive models into production, understanding model scope and purpose, and creating scalable data preparation pipelines Requirements 3+ years of Python programming experience, including SQL knowledge Strong expertise in MLOps Intermediate knowledge in Data Science, Data Engineering, and DevOps Engineering Involvement in at least one project delivered to production in an MLE capacity Familiarity with the Apache Spark Ecosystem Proficiency with automated data pipeline and workflow management tools Experience with various data processing paradigms (batch, micro-batch, streaming) Practical experience with at least one major Cloud Provider Experience integrating ML models into complex data-driven systems Nice to have Practical experience with Databricks MLOps-related tools Familiarity with performance testing tools Understanding of containerization technologies We offer Learning Culture - We want you to be the best version of yourself, which is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally Health Coverage - Health and wellness are important, which is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family Visual Benefit - Up to $200,000 COP for visual health expenses Life Insurance Plan - Full-coverage life insurance plan through MetLife Medical Leave Coverage - We cover 100% of your medical leave for up to 90 days Professional Growth Opportunities - Our development process provides tools to grow personally and professionally Stock Option Purchase Plan - Opportunity to purchase stock at a reduced price as a part-owner Additional Income - Earn extra income by referring talent, being a technical interviewer, and more Community Benefit - Be part of a worldwide community of over 50,000 employees We accept CVs in English only. Please note that even though you are applying for this position, you may be offered other projects to join within 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. Seniority level Mid-Senior level Employment type Full-time Job function Engineering, Information Technology, and Research Software Development and IT Services and IT Consulting #J-18808-Ljbffr