Machine Learning/AI ML Architect

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<p><strong>W2 Only , Fully Onsite , H1B Transfer can Also Apply </strong></p><p><br></p><p><strong>Title: Machine Learning/AI ML Architect </strong></p><p><strong>Duration: 6 Months + CTH </strong></p><p><strong>Location: Pittsburg ,PA </strong></p><p>(ONLY W2)</p><p><br></p><p><strong><u>Job Description:</u></strong></p><p><br></p><p><strong>Skills:</strong></p><ul><li>AutoGen</li><li>Communication</li><li>Generative AI</li><li>GraphQL</li><li>Jenkins</li><li>LangGraph</li><li>Machine Learning</li><li>Model Context Protocol Client</li><li>Model Context Protocol Servers</li><li>Model Prototyping</li><li>Azure</li><li>Large Language Model (LLM)</li><li>MongoDB</li><li>Python</li></ul><p><br></p><p><strong>Duties and Responsibilities:</strong></p><ul><li>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.</li><li>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</li><li>Develop robust and scalable pipelines for data preprocessing, model training, and deployment.</li><li>Strong programming skills in Python and in similar languages.</li><li>Familiarity with machine learning frameworks like PyTorch.</li><li>Hands on experience with generative AI models such as GPT.</li><li>Understanding of MLOps practices for building scalable AI pipelines.</li><li>Solid understanding of natural language processing (NLP) and AI ethics.</li><li>Translate complex requirements into scalable and efficient architecture</li><li>Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments</li><li>Excellent Communication and Leadership qualities to work independently with minimal supervision.</li></ul><p><br></p><p><strong>Requirements:</strong></p><ul><li>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</li><li>Strong knowledge data architecture in banking domain.</li><li>4+ Years Work Experience in Python, Mongo</li><li>Strong hands-on experience with Microsoft Azure</li><li>Integrate LLMs with enterprise datasets using Azure Open AI.</li><li>Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)</li><li>ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment</li><li>GenAI: Knowledge in LLM Models, Langchain , Hugingface</li><li>Excellent organizational and analytical abilities.</li><li>Outstanding problem solver.</li></ul><p>Good written and verbal communication skills</p>

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