Generative AI Engineer

Location: Pittsburgh, PA

Duration: 12+ Months

Employment Type: W2 Only

Skills: Auto Gen Communication Generative AIGraphQLJenkins Lang Graph Machine Learning Model Context Protocol Client Model Context Protocol Servers Model Prototyping Azure Large Language Model (LLM)

MongoDBPython Position Description: Our client is looking to hire a highly skilled and innovative ML/AI Architect with deep traditional AI/ML expertise, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation.

Duties and Responsibilities: 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.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 Develop robust and scalable pipelines for data preprocessing, model training, and deployment. Strong programming skills in Python and in similar languages. Familiarity with machine learning frameworks like PyTorch. Hands on experience with generative AI models such as GPT.Understanding of MLOps practices for building scalable AI pipelines. Solid understanding of natural language processing (NLP) and AI ethics. Translate complex requirements into scalable and efficient architecture Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments Excellent Communication and Leadership qualities to work independently with minimal supervision.

Requirements: 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 Strong knowledge data architecture in banking domain.4+ Years Work Experience in Python, Mongo Strong hands-on experience with Microsoft Azure Integrate LLMs with enterprise datasets using Azure Open AI.Understanding of agentic frameworks (such as Auto Gen or Lang Graph, MCP)ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment GenAI: Knowledge in LLM Models, Langchain, Hugingface Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills Regards, Yogesh Singh Rana 412-286-1371yogesh.rana@mastechdigital.com