We are looking for a Senior Machine Learning Engineer to join our ModelOps & Automated Controls team.This role involves architecting and enhancing machine learning model deployment pipelines using AWS services, guiding internal clients on product adoption, and resolving operational issues. You will play a key role in enabling efficient deployment processes for data scientists across the organization while ensuring compliance through automation.Responsibilities Enhance and architect new functionalities for the Model deployment pipeline Ensure automation of controls and compliance within the deployment processes Collaborate with data scientists to facilitate seamless integration of ML models into the pipeline Troubleshoot and resolve issues related to model deployment and operational workflows Provide guidance and support to internal stakeholders on leveraging deployment tools Maintain high-quality documentation for tools and processes for internal adoption Work cross-functionally to align deployment pipelines with organizational goals and requirements Requirements 3+ years of experience with Python for development and scripting 3+ years of expertise in AWS Cloud services, including Lambda, S3, and Step Functions Proficiency in AWS Cloud ML tools, particularly SageMaker Strong understanding of architecture and best practices for deploying machine learning models at scale Strong written and verbal English communication skills (B2+) We offer

We gather like-minded people:

Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities

We provide growth opportunities:

Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes

We cover it all:

Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events

Please, note:

The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview We will reach out to selected candidates exclusively

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.