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. We are seeking a seasoned Senior Machine Learning Engineer to bolster our team. This position is tailored for a professional eager to apply their AI and machine learning expertise to lead transformative projects and solutions. The selected candidate will significantly contribute to advancing and refining our cutting-edge machine learning models and systems to meet the diverse demands of our applications. Responsibilities Design machine learning models to address complex challenges Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities Deploy robust machine learning infrastructures in live environments Conduct thorough data evaluations to ensure model precision and reliability Improve the performance and efficiency of existing machine learning models Provide mentorship to junior engineers and lead machine learning projects Stay informed about emerging machine learning trends and technologies Evaluate and integrate new data sources to enhance model capabilities Document detailed procedures and architectures of machine learning models Present technical insights and model outputs to stakeholders and team members Requirements 3+ years of professional experience in Machine Learning Engineering, with a focus on AWS technologies Proficiency in Amazon Bedrock for developing and deploying machine learning solutions Extensive use of Amazon SageMaker for model development and management Understanding of Amazon S3 for efficient data storage and management in machine learning projects Advanced expertise in Python for machine learning model creation Knowledge of Natural Language Processing (NLP) and its applications Background in Deep Learning techniques and their practical application Skills in Prompt Engineering to optimize model interaction Competency in effectively applying Sentiment Analysis in real-world scenarios Capability to execute Model Evaluation for NLP to ensure performance metrics are met Proficiency in English at a B2 level or higher for effective collaboration and communication Nice to have Familiarity with other cloud platforms such as Google Cloud or Microsoft Azure Qualifications in additional programming languages like R or Java Background in obtaining certifications in machine learning, data science, or related disciplines We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn #J-18808-Ljbffr