Senior Software Engineer (MLOps)

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.

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