Senior MLOps Engineer

Location: Pittsburgh, PA (5 days onsite)Required skills/ experience: Bachelor's degree in computer science, computer engineering, or relevant field. Strong knowledge of 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.

Job Responsibilities: Maintain existing predictive models while architecting for the future. Architecting application that works as an integration of predictive model and generative AI.Building and deploying predictive models based on Random Forest, Linear Regression, etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at an 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.