AI/ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Malvern (Chester County); On-site; USD 150,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Malvern, PA is seeking an AI/ML Engineer with 6+ years to design and deploy production ML systems. You will implement agentic AI frameworks, build LLM-based apps with RAG, and orchestrate tools in secure cloud environments.

The role requires strong Python, AWS SageMaker, Docker, Kubernetes, and collaboration with product and business teams to align solutions with strategic objectives.

Qualifications

• Bachelor’s degree in CS, Engineering, or related field; Master’s preferred.
• 6+ years in AI/ML, data engineering, and MLOps.
• Experience with AWS ML Stack including SageMaker, Glue, Bedrock, Data Pipelines, Lambda.
• Proficient in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
• CI/CD, containerization, and orchestration tools.

Responsibilities

• Agentic AI & MCP Integration: Implement agentic frameworks and MCP for secure tool orchestration.
• Generative AI Development: Build LLM-based applications with RAG and evaluation frameworks.
• AWS ML Engineering: Deploy models using SageMaker pipelines, ECS/ECR, Lambda; manage CI/CD and monitoring.
• Security & Identity: Integrate Okta/JWT token for API authentication; enforce token validation.
• Governance: Deliver artifacts required by MDLC/MPLC (Model Documents, Data Dictionary, Monitoring Plan).
• Collaboration: Partner with PO and business stakeholders to align solutions with objectives.

Skills

Python

ML Engineering

Data Pipelines

CI/CD

Security

Team Collaboration

Problem Solving

Education

Bachelor’s degree in CS/Engineering or related field

Master’s preferred

Tools

Docker

Kubernetes

Git

Job description

• Client:

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Job Description

Job Overview

• Job ID:

J53195

• Job Title:

AI/ML Engineer

• Location:

Malvern, PA

• Duration:

22 Months + Extension

• Domain Exposure:

Pharmaceuticals, Retail, Real Estate

• Work Authorization:

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

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Job Description

Core Responsibilities

• Agentic AI & MCP Integration: Implement agentic frameworks (e.g., LangGraph, AutoGen) and Model Context Protocol (MCP) for secure tool orchestration.
• Generative AI Development: Build LLM-based applications with RAG, structured output, and evaluation frameworks.
• AWS ML Engineering: Deploy models using SageMaker pipelines, ECS/ECR, Lambda; manage CI/CD and monitoring.
• Security & Identity: Integrate Okta/JWT token for API and service authentication; enforce token validation and claims.
• Governance : Deliver artifacts required by MDLC/MPLC (Model Documents, Data Dictionary, Monitoring Plan).
• Collaboration: Partner with PO, and business stakeholders to align solutions with objectives.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 6+ years of experience across Artificial Intelligence (AI) / Machine Learning (ML) engineering, data engineering, and MLOps implementation, including:
• 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 ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong understanding and experience in AWS Machine Learning Stack including:
• AWS SageMaker
• AWS Glue
• AWS Bedrock
• AWS Data Pipelines
• AWS Lambda Functions
• Experience with Generative AI model development builing LLM based applications with RAG.
• Experience implementing agentic frameworks (e.g., LangGraph, AutoGen) and Model Context Protocol (MCP) for orchestration.
• Knowledge of React UI, GraphDB, and GenAI model performance evaluation
• Experience with CI/CD, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
• Solid grasp of software engineering principles including testing, version control (e.g., Git), and security.
• Familiarity with the Machine Learning Development Lifecycle (MDLC) and best practices for reproducibility and scalability.
• Strong communication and collaboration skills, with experience working across technical and business teams.
• Ability to anticipate ambiguity and devise scalable solutions to address it.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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