AI/ML Engineer

Top Technical Skills & Requirements • 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 • Architect and implement AI/ML solutions using Azure Machine Learning, Azure AI Foundry, Cognitive Services, and Azure OpenAI. • Build and deploy NLP and LLM-based models, utilizing frameworks such as LangChain, Semantic Kernel, or LlamaIndex. • 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. Model Lifecycle Management • Lead end-to-end ML model lifecycle including data exploration, feature engineering, model training, validation, and deployment. • Monitor and maintain deployed models in production environments, ensuring performance, reliability, and scalability. • Apply best practices in model versioning, automated retraining, and performance monitoring using Azure ML and related tools. Quality Assurance & Governance • Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance. • Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness. • Stay current with industry trends and best practices in AI technology, incorporating them into solution development. Education & Experience • Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable) • 3+ 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. Preferred Consulting Experience • Collaborate with sales and delivery teams to scope and design AI solutions tailored to client needs. • Contribute to proposal development, including technical architecture, effort estimation, and value articulation. • Deliver technical presentations and demos to stakeholders, showcasing solution capabilities and business impact. Equal opportunity employer including disability/veterans.