We are seeking a seasoned Senior Machine Learning Engineer to join our team. This position is ideal 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 optimizing and advancing our sophisticated machine learning models and systems, tailoring them to meet diverse application needs. Responsibilities Design and develop machine learning models to handle complex challenges Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities Deploy reliable machine learning infrastructures in production environments Conduct rigorous data analyses and tests to ensure model accuracy and reliability Improve the performance and scalability of existing machine learning models Provide mentorship to junior engineers and lead machine learning projects Stay updated on the latest advancements in machine learning technologies and trends Evaluate and incorporate new data sources to enhance model functionality Draft detailed documentation for machine learning processes and model architectures Present technical findings and model outcomes to stakeholders and team members Requirements A minimum of 3 years of experience in Machine Learning Engineering, emphasizing AWS technologies Expertise in Amazon Bedrock for creating and deploying machine learning solutions Background in using Amazon SageMaker to build and manage machine learning models Understanding of Amazon S3 for efficient data storage and processing in machine learning workflows Proficiency in Python for developing machine learning models Knowledge of Natural Language Processing (NLP) and its associated implementations Skills in Deep Learning methodologies and applications Competency in Prompt Engineering to enhance machine learning model interactions Capability to implement Sentiment Analysis effectively Qualifications in conducting Model Evaluation for NLP to assess model performance Fluency in English at a B2 level or higher for seamless collaboration and communication with stakeholders Nice to have Familiarity with cloud platforms such as Google Cloud or Microsoft Azure Background 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