Machine Learning Engineer (LLM)

EPAM is looking for a talented Machine Learning Engineer with LLM experience to join our team in Vietnam. In this role, you will be responsible for building and optimizing product recommender systems, leveraging advanced machine learning and big data technologies. You will collaborate with cross-functional teams and contribute to innovative AI solutions for a high-profile client in the retail industry.

Responsibilities

• Develop and maintain data pipelines and ETL processes to feed data into the recommendation systems
• Identify and suggest code enhancements and optimizations for better performance
• Develop Flask REST APIs for serving machine learning models
• Work with cross-functional teams for system integration
• Participate in planning, estimating, and aligning with team development
• Contribute to LLM (Large Language Model) and LLMOps development and deployment
• Stay updated with the latest developments in machine learning technologies and leverage them to improve the recommendation systems

Requirements

• Advanced proficiency in Python, with proven experience in developing robust solutions
• Skilled in big data frameworks such as Spark or PySpark, with hands-on experience in processing and analyzing large datasets
• Solid understanding of machine learning practices, including model development, evaluation and optimization
• Familiarity with cloud computing platforms, including Azure, AWS or GCP, for deploying and managing machine learning solutions
• Strong understanding of software engineering and DevOps skills (Docker, Git, CI/CD, etc.)
• Proficiency in both spoken and written English, with the ability to collaborate effectively in a multicultural environment

Benefits

• By choosing EPAM Vietnam, you're getting a job at a Vietnam Best Workplace™ certified company (2022-23 and 2023-24)
• You'll work with the latest and most advanced technologies on exciting global projects with a supportive multicultural team where your voice matters
• We prioritize a healthy work-life balance with a flexible hybrid working model and generous annual leave of up to 19 days
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: access to over 25,000 online courses and libraries from industry leaders, English classes, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us