We are seeking a seasoned Senior Machine Learning Engineer to join 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 chosen candidate will play a pivotal role in enhancing and optimizing our advanced machine learning models and systems, ensuring alignment with diverse application needs. Responsibilities Design machine learning models to resolve complex problems Collaborate with multidisciplinary teams to address business requirements and identify machine learning opportunities Implement robust machine learning infrastructures in active environments Conduct detailed data analysis and testing to ensure model accuracy and reliability Optimize the performance and functionality of existing machine learning models Provide mentorship to junior engineers and lead machine learning projects Stay updated on advancements in machine learning trends and technologies Evaluate and incorporate new data sources to improve model performance Document machine learning workflows and model architectures comprehensively Present technical insights and model outcomes to stakeholders and team members Requirements At least 3 years of professional experience in Machine Learning Engineering focusing on AWS technologies Proficiency in Amazon Bedrock for designing and deploying machine learning solutions Extensive background in Amazon SageMaker for creating and managing machine learning models Thorough understanding of Amazon S3 for effective data storage and management in machine learning projects Advanced skills in Python for developing machine learning models Expertise in Natural Language Processing (NLP) and its practical applications Strong background in Deep Learning techniques and implementations Competency in Prompt Engineering to refine machine learning model interaction Capability to implement Sentiment Analysis in real-world scenarios Competency in conducting Model Evaluation for NLP to assess model effectiveness Fluency in English at a B2 level or higher for efficient communication with teams and stakeholders Nice to have Familiarity with other cloud platforms like Google Cloud or Microsoft Azure Qualifications in additional programming languages such as R or Java Certifications in machine learning, data science, or related disciplines We offer/Benefits - International projects with top brands - Work with global teams of highly skilled, diverse peers - Healthcare benefits - 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