Corps Team
Overview
Our client, a leader in the power sports industry, is seeking an experienced AI/ML Engineer for a 12+ month contract to hire position in Medina, MN. This role is mainly remote, but candidate must be comfortable coming into the office if needed. NO C2C or Sponsorship. Base pay range
$50.00/hr - $60.00/hr 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. Pay Rate
$50-60+/hour (flexible based on experience) Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Engineering Industries
IT Services and IT Consulting and Engineering Services
#J-18808-Ljbffr
Our client, a leader in the power sports industry, is seeking an experienced AI/ML Engineer for a 12+ month contract to hire position in Medina, MN. This role is mainly remote, but candidate must be comfortable coming into the office if needed. NO C2C or Sponsorship. Base pay range
$50.00/hr - $60.00/hr 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. Pay Rate
$50-60+/hour (flexible based on experience) Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology and Engineering Industries
IT Services and IT Consulting and Engineering Services
#J-18808-Ljbffr