Machine Learning/AI ML Architect

Job Description

W2 Only , Fully Onsite , H1B Transfer can Also Apply

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Title: Machine Learning/AI ML Architect

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Duration: 6 Months + CTH

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Location: Pittsburg ,PA

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(ONLY W2)

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Job Description:

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Skills:

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• AutoGen

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• Communication

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• Generative AI

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• GraphQL

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• Jenkins

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• LangGraph

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• Machine Learning

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• Model Context Protocol Client

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• Model Context Protocol Servers

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• Model Prototyping

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• Azure

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• Large Language Model (LLM)

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• MongoDB

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• Python

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Duties and Responsibilities:

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• Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.

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• Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale

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• Develop robust and scalable pipelines for data preprocessing, model training, and deployment.

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• Strong programming skills in Python and in similar languages.

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• Familiarity with machine learning frameworks like PyTorch.

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• Hands on experience with generative AI models such as GPT.

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• Understanding of MLOps practices for building scalable AI pipelines.

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• Solid understanding of natural language processing (NLP) and AI ethics.

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• Translate complex requirements into scalable and efficient architecture

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• Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments

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• Excellent Communication and Leadership qualities to work independently with minimal supervision.

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Requirements:

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• A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects

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• Strong knowledge data architecture in banking domain.

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• 4+ Years Work Experience in Python, Mongo

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• Strong hands-on experience with Microsoft Azure

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• Integrate LLMs with enterprise datasets using Azure Open AI.

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• Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)

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• ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment

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• GenAI: Knowledge in LLM Models, Langchain , Hugingface

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• Excellent organizational and analytical abilities.

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• Outstanding problem solver.

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Good written and verbal communication skills