Role 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
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.
What you'll work on
- 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 ManagementLead 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 & GovernanceConduct 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.
What we're looking for
- 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)
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Machine Learning Data Science Nlp Mlops Generative Ai