EPAM Systems Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Overview
Join EPAM Malaysia as a Senior Machine Learning Engineer and lead the charge in creating cutting-edge AI solutions that solve complex, real-world problems. You’ll design and deploy scalable ML pipelines using tools like TensorFlow, PyTorch, Databricks and Snowflake, while harnessing the power of AWS, Azure, or GCP cloud platforms.
Get AI-powered advice on this job and more exclusive features.
Join to apply for the Senior Machine Learning Engineer role at EPAM Systems .
Responsibilities
- Transition machine learning algorithms into production environments and integrate them with enterprise ecosystems, IoT devices and mobile platforms
- Design, build, and optimize the end-to-end ML lifecycle, including data preparation, feature extraction, model optimization, performance monitoring and testing strategies such as A / B, Canary, or Blue-Green testing
- Develop frameworks to enable data scientists to create production-grade ML models faster and more effectively
- Collaborate with data scientists and engineers to enhance the performance and scalability of ML pipelines
- Establish and maintain CI / CD / CT processes for ML systems while ensuring continuous training of models and early drift detection (e.g., data, concept, schema)
- Promote and implement MLOps best practices to ensure scalability, reliability, and maintainability of ML models
- Continuously identify and address technical risks, gaps and debt in ML systems while seeking opportunities for improvement with new tools and techniques
- Create comprehensive specifications, documentation and user guides for developed solutions to ensure seamless collaboration and deployment
Requirements
At least 3 years of hands-on experience with Machine LearningProficient in Python and SQL with hands-on experience in a modern data stack (e.g., Databricks, Snowflake, Spark, BigQuery)Expertise in common ML frameworks like TensorFlow, PyTorch, or Scikit-learn and MLOps platforms like Databricks MLflow, Kubeflow, or TFXSkilled in designing and managing scalable ML pipelines using tools such as Apache Spark or Airflow, and implementing CI / CD workflowsExperience with a major cloud platform (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes)Proven ability to identify risks, debug complex issues and work cross-functionally with data scientists, engineers and product teamsStrong communication skills for articulating technical concepts and creating clear documentationEnglish language proficiency at an Upper-Intermediate level (B2) or higherWe 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 mattersYou 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 practicesWe offer a transparent career path and an individual roadmap to engineer your future & accelerate your journeyAt 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 usLife at EPAM
EPAM is a leader in the fastest-growing segment (product development / digital platform engineering) of the IT industry. We acquired Just-BI in 2021 to reinforce our leading position as a global Business Intelligence services provider and have been growing rapidly. With a talented multinational team, we provide data and analytics expertiseWe are currently involved in end-to-end BI design and implementation projects in major national and international companies. We are proud of our entrepreneurial start-up culture and are focused on investing in people by creating continuous learning and development opportunities for our employees who deliver engineering excellence for our clientsSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
Engineering, Information Technology, and ResearchIndustries
Software Development and IT Services and IT ConsultingReferrals increase your chances of interviewing at EPAM Systems by 2x
Get notified about new Senior Machine Learning Engineer jobs in Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia .
#J-18808-Ljbffr