M
Generative AI Engineer
Mastech
2 hours ago
Full-time
On-site
Pittsburgh, Pennsylvania, United States
Important:
This is a
W2-only opportunity ; C2C is not available for this position. If you are interested, please reply with your
updated resume, current location, work authorization status, availability, and expected W2 rate .
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Title: Senior Machine Learning/GenAI Architect Location: Pittsburgh, PA Duration: 12+ Months Employment Type: W2 Only
Skills: AutoGen Communication Generative AI GraphQL Jenkins LangGraph Machine Learning Model Context Protocol Client Model Context Protocol Servers Model Prototyping Azure Large Language Model (LLM) MongoDB Python
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 AutoGen or LangGraph, MCP) ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment GenAI: Knowledge in LLM Models, Langchain , Hugingface Excellent organizational and analytical abilities. xsgimln Outstanding problem solver. Good written and verbal communication skills
Regards, Yogesh Singh Rana 412-286-1371
W2-only opportunity ; C2C is not available for this position. If you are interested, please reply with your
updated resume, current location, work authorization status, availability, and expected W2 rate .
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Title: Senior Machine Learning/GenAI Architect Location: Pittsburgh, PA Duration: 12+ Months Employment Type: W2 Only
Skills: AutoGen Communication Generative AI GraphQL Jenkins LangGraph Machine Learning Model Context Protocol Client Model Context Protocol Servers Model Prototyping Azure Large Language Model (LLM) MongoDB Python
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 AutoGen or LangGraph, MCP) ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment GenAI: Knowledge in LLM Models, Langchain , Hugingface Excellent organizational and analytical abilities. xsgimln Outstanding problem solver. Good written and verbal communication skills
Regards, Yogesh Singh Rana 412-286-1371