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# AI/ML Platform Engineer

- **Company:** SURGE INFOTECH LLC
- **Location:** Alexandria, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, Systems Integration, Cloud Platform System, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Keras, Fastapi, Build Management, Kubernetes, Information Technology, AWS Fargate, Build Tools, Machine Learning Operations, Functional Programming, Api Gateway, Software Coding, Terraform, Docker, Microservices
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7bb23274bf8a259f

## About the Role

Do you have experience in System deployment?, We are seeking a hands-on Senior AI/ML Platform Engineer with 10+ years of IT experience and a strong track record of building, deploying, and operationalizing AI/ML systems. The ideal candidate is a doer who excels in implementing scalable, production-grade AI/ML solutions across cloud environments., * 10+ years of IT/engineering experience

 * 3+ years of handson AI/ML development experience
 * 4+ years working directly with AWS services (Lambda, EC2, S3, DynamoDB, IoT Core, API Gateway, Fargate/ECS)
 * Proven experience deploying ML systems into production environments
 * Strong coding skills and ability to build systems endtoend, * Deep Learning frameworks: TensorFlow, PyTorch, Keras
 * LLMs, prompt engineering, NLP pipelines
 * Python and Java as primary languages; strong engineering fundamentals
 * FastAPI and microservices for ML inference
 * InfrastructureasCode (Terraform)
 * Kubernetes and Docker for scalable ML workloads
 * Distributed/cloud systems design with AWS
 * Edgetocloud system integration experience
 * Handson build experience (not just design/architecture)

## Description

* Build and deploy productiongrade ML/AI pipelines and services
 * Develop LLMpowered and NLPdriven applications
 * Write, optimize, and maintain highquality Pythonbased ML code
 * Implement scalable infrastructure using Terraform, AWS, and Kubernetes
 * Build FastAPIbased inference services and cloud APIs
 * Collaborate with crossfunctional engineering teams to deliver highimpact systems
 * Troubleshoot, optimize, and own systems endtoend as a handson engineer

Preferred Skills

 * Experience with distributed systems and microservices
 * Strong understanding of ML model lifecycle, deployment patterns, and operational monitoring


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