Job Description

We are looking for an experienced Data Scientist to join our growing team in Kuala Lumpur. You will work in a hybrid mode, independently advising on AI application areas, designing and building end-to-end ML pipelines and integrating AI solutions into scalable software products. If you thrive in a fast-paced, product-oriented Agile environment and enjoy working closely with both technical teams and business stakeholders to turn data into measurable impact, we want to hear from you.

Responsibilities

Independently identify high-impact AI opportunities, capture business requirements, and translate them into robust mathematical models
Oversee the entire data lifecycle, from conceptualizing labeling processes and performing EDA to advanced statistical analysis
Select and implement ML and semantic models, validating approaches against current scientific literature to ensure best-in-class performance
Design and implement automated MLOps pipelines for model creation, QA and deployment via RESTful APIs (e.g., FastAPI, Flask)
Architect and implement scalable infrastructure to seamlessly integrate AI components into production-grade software products
Ensure all AI solutions adhere to global data privacy standards, AI ethics and IT security regulations
Partner with System Engineers and Product teams in an Agile (Scrum/Kanban) framework to deliver measurable value
Distill complex methodologies into clear, actionable insights for both technical peers and non-technical stakeholders

Requirements

Minimum 5 years of hands-on experience in Data Science or Machine Learning Engineering roles
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
Strong proficiency in Python and SQL
Demonstrated experience with Microsoft Azure (primary focus); AWS or GCP experience is highly valued
Proven track record in at least two ML domains (e.g., Forecasting, NLP, Computer Vision, Anomaly Detection, or LLM applications)
Practical experience in model selection, training and deployment within scalable, automated production pipelines
Comfortable working in product-oriented teams, contributing to a culture of rapid iteration and cross-functional transparency
Strong awareness of data security and AI compliance standards

Nice to have

Expertise with MLflow or other MLOps frameworks
Familiarity with LLM frameworks (e.g., LangChain), multi-agent systems, or advanced prompt engineering
Professional certifications in Data Architecture or Cloud Engineering

We offer

By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 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