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Senior Machine Learning Engineer

Senior Machine Learning Engineer

EPAM SystemsKuala Lumpur, Kuala Lumpur, Malaysia
30+ hari lalu
Penerangan pekerjaan

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.

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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 Learning
  • Proficient 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 TFX
  • Skilled in designing and managing scalable ML pipelines using tools such as Apache Spark or Airflow, and implementing CI / CD workflows
  • Experience 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 teams
  • Strong communication skills for articulating technical concepts and creating clear documentation
  • English language proficiency at an Upper-Intermediate level (B2) or higher
  • 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
  • Life 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 expertise
  • We 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 clients
  • Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Engineering, Information Technology, and Research
  • Industries

  • Software Development and IT Services and IT Consulting
  • Referrals increase your chances of interviewing at EPAM Systems by 2x

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