Machine Learning Engineer Malaysia

Responsibilities

• Transform machine learning model prototypes into production-ready, optimized ML pipelines
• Design and implement automated training pipelines for machine learning models
• Collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions
• Develop and maintain scalable machine learning infrastructure and pipelines
• Assess model performance and refine algorithms for efficiency, scalability, and accuracy
• Deploy machine learning models in production environments, ensuring stability and efficiency
• Stay updated with the latest machine learning advancements and integrate relevant technologies
• Document processes, models, and code to ensure reproducibility and facilitate knowledge sharing
• Participate in code reviews and promote a culture of high-quality software development

Requirements

• Minimum of 5 years of experience in Machine Learning
• Strong proficiency in Python programming
• Skilled in real-time model inference using FastAPI or Flask
• Expertise in both batch and real-time application integration
• Extensive experience in data cleaning, preprocessing, analysis and familiarity with frameworks like TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and their practical applications
• Experience with cloud platforms such as AWS, Azure, or GCP and familiarity with Hadoop, Spark, or similar tools
• Proficient in containerization and orchestration using tools like Docker and Kubernetes
• Familiar with ML experiment management tools such as MLflow or Kubeflow, and experience working with feature stores
• Proficient in building and managing CI/CD pipelines
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work collaboratively
• Solid understanding of algorithms, data structures, and software engineering principles
• Proficient in Machine Learning Operations concepts (e.g., data drift, model drift, metrics, F1 score)
• Knowledge of LLMs

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