Senior Software Engineer (MLOps)

EPAM Systems; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EPAM Systems in Singapore is seeking a Senior Software Engineer (MLOps) to bring machine learning into production at scale. You will build ML and LLM pipelines, standardize model lifecycle management and help teams ship reliable AI features using Python, container platforms and cloud services.

You will own end-to-end pipelines, manage model lifecycles, operationalize LLMs and refactor research prototypes into production-grade code with emphasis on testing, performance and observability.

Qualifications

• Strong Python background; write clean, testable code.
• Production ML systems experience incl. CI/CD and release workflows.
• Experience deploying LLMs, embeddings, and RAG.
• Docker and Kubernetes for packaging/running workloads.
• Familiar with experiment tracking and model registry tools (MLflow, W&B).
• Cloud compute and GPU fundamentals for training/inference optimization.

Responsibilities

• Build end-to-end ML and LLM pipelines from ingestion to training, serving and CI/CD.
• Own model lifecycle workflows including experimentation, registry, deployments, promotions and monitoring.
• Operationalize large language models, embeddings, RAG and agentic workflows.
• Refactor research prototypes into production-grade Python with testing and debugging.
• Containerize services using Docker and orchestrate workloads with Kubernetes.
• Define observability for AI systems including drift, quality metrics and reliability signals.
• Partner with data science and platform teams to integrate AI into shared services.
• Contribute to engineering standards for security, compliance and reproducibility.

Skills

Python

CI/CD

ML workflow

LLMs embeddings

Cross-team collaboration

Tools

Docker

Kubernetes

MLflow

Weights & Biases

GitLab CI

Job description

We are seeking a Senior Software Engineer (MLOps) to bring machine learning into production at scale. You will build ML and LLM pipelines, standardize model lifecycle management and help teams ship reliable AI features using Python, container platforms and cloud services.

Responsibilities

• Build and maintain end-to-end ML and LLM pipelines from ingestion to training, serving and CI/CD
• Own model lifecycle workflows including experimentation, registry, deployments, promotions and monitoring
• Operationalize large language models, embeddings, Retrieval-Augmented Generation (RAG) and agentic workflows
• Refactor research prototypes into production-grade Python with testing, debugging and performance tuning
• Containerize services using Docker and orchestrate workloads with Kubernetes
• Define observability for AI systems including drift, quality metrics and reliability signals
• Partner with data science and platform teams to integrate AI capabilities into shared services
• Contribute to engineering standards for security, compliance and reproducibility

Requirements

• Strong background in Python with the ability to write clean, testable, maintainable code
• Experience building production ML systems including CI/CD and release workflows
• Hands-on experience with Docker and Kubernetes for packaging and running workloads
• Familiarity with experiment tracking and model registry tools such as MLflow or Weights & Biases
• Proven experience deploying and operating large language models including embeddings and RAG patterns
• Knowledge of monitoring approaches for ML systems including drift and performance tracking
• Understanding of cloud compute and GPU fundamentals for training and inference optimization
• Ability to collaborate across data science, engineering and infrastructure teams

Nice to have

• Experience with LangChain and LangGraph or similar orchestration frameworks
• Experience with GitLab CI or Jenkins in production environments
• Interest in keeping up with applied ML and AI advances and translating them into shippable features

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 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.