AI/ML Engineer — LLMs, RAG, MLOps on AWS

Valiant Technologies LLC

Pennsylvania

On-site

USD 130,000 - 190,000

Full time

1 hour ago
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Job summary

Valiant Technologies LLC in Pennsylvania is seeking an experienced Senior AI/ML Engineer to design and deploy production-grade ML systems, build scalable data pipelines, and manage model lifecycles in cloud environments using secure tool orchestration with MCP.

You will collaborate with product owners to align AI solutions with business goals, apply CI/CD, Docker/Kubernetes, and evaluate GenAI models with RAG approaches. Proficiency in Python and AWS ML services is required.

Qualifications

  • 6+ years of experience across Artificial Intelligence (AI) / Machine Learning (ML) engineering, data engineering, and MLOps implementation.
  • Designing and deploying production-grade ML systems.
  • Building scalable data pipelines and ML workflows.
  • Managing model lifecycle in cloud environments.
  • Proficient in Python and familiar with TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding and experience in AWS Machine Learning Stack including AWS SageMaker, AWS Glue, AWS Bedrock, AWS Lambda.

Responsibilities

  • Implement agentic frameworks (e.g., LangGraph, AutoGen) and Model Context Protocol (MCP) for secure tool orchestration.
  • Develop LLM-based applications with RAG and structured output.
  • Collaborate with product owners and stakeholders to align AI solutions with business goals.
  • Lead CI/CD, containerization (Docker), and orchestration (Kubernetes) practices.
  • Ensure reproducibility, security, and scalable deployment of ML models.

Skills

AI/ML engineering
Python
AWS ML Stack
GenAI / MCP expertise
CI/CD
Docker / Kubernetes
LLM / RAG
Model lifecycle management
Security & Compliance
GIT / Version control

Education

Bachelor’s degree in Computer Science/Engineering
Master’s degree preferred

Tools

Python
TensorFlow
PyTorch
Scikit-learn
AWS SageMaker
AWS Glue
AWS Bedrock
AWS Lambda
Docker
Kubernetes

Job description

Valiant Technologies LLC in Pennsylvania is seeking an experienced Senior AI/ML Engineer to design and deploy production-grade ML systems, build scalable data pipelines, and manage model lifecycles in cloud environments using secure tool orchestration with MCP.

You will collaborate with product owners to align AI solutions with business goals, apply CI/CD, Docker/Kubernetes, and evaluate GenAI models with RAG approaches. Proficiency in Python and AWS ML services is required.

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