We are seeking a seasoned Senior Machine Learning Engineer to bolster our team. This role is ideal for a professional eager to leverage their AI and machine learning expertise to drive transformative projects and solutions. The chosen candidate will play a vital role in advancing and fine-tuning our sophisticated machine learning models and systems, ensuring alignment with the diverse requirements of our applications. Responsibilities Design machine learning models to solve complex problems Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities Deploy reliable machine learning infrastructures in production environments Conduct detailed data analysis and testing to confirm model performance and accuracy Improve the efficiency and effectiveness of current machine learning models Provide mentorship to junior engineers and oversee machine learning initiatives Stay updated on emerging trends and innovations in machine learning Evaluate and integrate new data sources to expand model capabilities Document machine learning processes and model frameworks comprehensively Share technical insights and model outcomes with stakeholders and team members Requirements Minimum of 3 years professional experience in Machine Learning Engineering, with AWS technologies Proficiency in Amazon Bedrock for building and deploying machine learning solutions Experience in Amazon SageMaker for developing and managing machine learning models Understanding of Amazon S3 for data storage and handling within machine learning projects Advanced proficiency in Python for machine learning model creation Background in Natural Language Processing (NLP) and its applications Expertise in Deep Learning techniques and associated implementations Skills in Prompt Engineering to enhance machine learning model interactions Competency in performing Sentiment Analysis in practical applications Qualifications in Model Evaluation for NLP to ensure model effectiveness Familiarity with English at a B2 level or higher for team collaboration and communication with stakeholders Nice to have Background in other cloud platforms such as Google Cloud or Microsoft Azure Skills in additional programming languages like R or Java Qualifications 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