Senior Software Engineer (AI/ML)

About EPAMEPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers.You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here.Why EPAM?By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2022 & 2023.Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.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: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.What You’ll DoDesign, build and deploy production-grade machine learning and Generative AI systemsArchitect agentic and multi-agent solutions including tool and function calling workflows Create Retrieval-Augmented Generation (RAG) pipelines that ground outputs in enterprise data Improve prompt design, safety and response quality through testing and iteration Define evaluation approaches, metrics and benchmarks for model and system performance Integrate AI capabilities into existing platforms with data engineers, platform teams and stakeholders Uphold engineering standards through code reviews, testing, documentation and debuggingWhat Will Make You ShinePython proficiency and hands-on use of machine learning and deep learning frameworks such as TensorFlow and PyTorchExperience building with Large Language Models (LLMs) including orchestration frameworks, agents and reasoning patterns Experience designing and implementing Retrieval-Augmented Generation (RAG) systems for enterprise knowledge and search Knowledge of data preparation, feature engineering, model selection and production performance considerations Understanding of core machine learning math including probability, linear algebra and optimization Familiarity with software engineering practices including Git, testing strategies and maintainable code Strong problem-solving with the ability to diagnose and resolve complex ML and GenAI system issues How We HireHere, we summarize the typical journey to finding a job within EPAM:Apply and tell us about yourselfGo through some standard interviews:General interview with a recruiterTechnical interview with our technology expertsManager interview or Offer interview with a hiring managerGet ready to join the teamNot sure if you meet all the requirements? No problem. Let’s talk anyway and find out more.It takes 1 min of application to start the journey with us. Apply now!