We are on the lookout for a seasoned Senior Machine Learning Engineer to strengthen our team. This position is perfect for a professional eager to apply their AI and machine learning expertise to spearhead transformative projects and solutions. The selected candidate will play a key role in enhancing and refining our sophisticated machine learning models and systems, aligning them with the diverse needs of our applications. Responsibilities Architect and engineer machine learning models to address complex challenges Work alongside multidisciplinary teams to grasp business needs and explore machine learning opportunities Deploy robust machine learning infrastructures in live environments Perform thorough data evaluations and tests to validate model precision and dependability Enhance the performance and efficiency of current machine learning models Mentor junior engineers and lead machine learning initiatives Keep abreast of emerging machine learning trends and technologies Assess and assimilate new data sources to augment model capabilities Record detailed documentation of machine learning procedures and model structures Communicate technical insights and model results to stakeholders and team members Requirements At least 3 years of professional experience in Machine Learning Engineering, with a focus on AWS technologies Demonstrated proficiency with Amazon Bedrock for the development and deployment of machine learning solutions Comprehensive experience in utilizing Amazon SageMaker to develop and manage machine learning models Profound understanding of Amazon S3 for effective data storage and handling in machine learning projects Advanced proficiency in Python for machine learning model development Specialized knowledge in Natural Language Processing (NLP) and its applications Extensive experience with Deep Learning techniques and their implementation Skilled in Prompt Engineering to improve machine learning model interaction Adept in implementing Sentiment Analysis in practical scenarios Ability to perform effective Model Evaluation for NLP to verify model performance Fluent in English at a B2 level or higher, necessary for efficient team collaboration and communication with stakeholders Nice to have Experience with other cloud platforms such as Google Cloud or Microsoft Azure Knowledge of additional programming languages like R or Java Relevant certifications in machine learning, data science, or associated fields 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