Job description

Looking for only locals to MN (non locals please don't apply) Hybrid role OPT/CPT/EAD will not be considered USC/H1s are welcome to apply if you are local to MN We can work on CTC for this role • Programming Expertise: 3+ years of hands-on experience with C# and Python, including building scalable applications and integrating ML models. • API Development & Management: Experience designing, building, and managing RESTful API endpoints using C# (.NET) and Python (FastAPI), with a focus on performance, security, and maintainability. • Cloud ML Deployment: Proven experience in end-to-end deployment, monitoring, and maintenance of ML models on Azure (preferred) or AWS, including CI/CD pipelines and MLOps practices. • Deep Microsoft Azure Experience: Extensive hands-on experience with Azure services including Azure Machine Learning, Azure AI Foundry, Azure Functions, and Azure DevOps, enabling scalable and secure AI/ML solutions across enterprise environments. • Azure AI Foundry: Practical experience leveraging Azure AI Foundry for model development, orchestration, and deployment. • Applied Data Science: Strong background in data exploration, feature engineering, model selection, and validation across supervised and unsupervised learning tasks. Key Responsibilities AI Solution Development & Deployment • Design and implement Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search to enhance generative AI capabilities. • Develop and manage RESTful API endpoints using C# (.NET) and Python (FastAPI) to serve ML models and data services. • Implement CI/CD pipelines and MLOps workflows using Azure DevOps and GitHub for scalable and automated model deployment. • Leverage Terraform for infrastructure-as-code (IaC) to provision and manage Azure cloud resources in a repeatable and secure manner. Education & Experience • Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable) • 2+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs. • Experience in a consulting environment, engaging with clients and delivering tailored solutions.

Requirements