Role - Senior Machine Learning/GenAI Architect
Location - Pittsburgh, PA (5 Days Onsite)
Fulltime with Mastech Digital
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.
. Outstanding problem solver.
. Good written and verbal communication skills