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# Senior Software Engineer (MLOps)

- **Company:** EPAM Systems, Inc.
- **Location:** Newtown, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Cloud Computing, Continuous Integration, Software Debugging, Python (Programming Language), Performance Tuning, Large Language Models, Generative AI, Containerization, Gitlab-ci, Kubernetes, Machine Learning Operations, Code Restructuring, Docker, Jenkins
- **Published:** July 31, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u4or6cwj

## About the Role

* 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

## Description

* 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


## Related Videos

- [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [The state of MLOps - machine learning in production at enterprise scale](https://www.wearedevelopers.com/videos/369-the-state-of-mlops-machine-learning-in-production-at-enterprise-scale)
- [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## Related Articles

- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)