.**DESCRIPTION**:Join EPAM as a **Lead Machine Learning Engineer.**If you have a Bachelor's degree in Computer Science, Data Science, or a related field, 3+ years of hands-on experience in software development and deployment, and a deep understanding of machine learning methodologies, we'd love to hear from you.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.RESPONSIBILITIES- Provide expert consultation on complex projects, demonstrating a deep understanding of complex code and machine learning concepts- Contribute directly to code development and actively mentor junior developers in best practices for machine development, deployment, and monitoring- Collaborate with other teams to design, model, and optimize data pipelines for efficient model training and inference**REQUIREMENTS**:- Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent work experience)- 3+ years of hands-on experience in software development and deployment- 1+ years of experience in prompt engineering- Proven track record of leading development teams and delivering successful projectsNICE TO HAVE- Experience in the financial services industry, particularly in the mortgage sector- Ability to design complete end-to-end systems from scratch- Mastery of AWS, Git versioning software, and mastery of Python- Full-stack development capabilitiesTECHNOLOGIES- Extensive experience with Python and strong object-oriented programming (OOP) skills- Deep understanding of machine learning methodologies, including supervised, unsupervised, and reinforcement learning. Proficiency with Python machine learning libraries (scikit-learn, numpy, pandas, nltk)- Significant experience with the AWS stack, including serverless architecture and cloud-based data warehousing solutions (e.G
