Artificial Intelligence Engineer

Role: AI/ML Engineer Location: Minneapolis, MN Type: Contract Job Description This is day 1 onsite in Minneapolis, MN Key Responsibilities: • AI Solution Development & Deployment: • Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. • Develop and deploy machine learning models, particularly focusing on NLP and LLMs,utilizing frameworks such as Lang Chain or Semantic Kernel. • Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications. • Project Delivery & Client Engagement: • Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives. • Work in both project-based and staff augmentation roles, adapting to various client environments and requirements. • Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions. • Model Validation & Quality Assurance: • 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 the minto solution development. • Preferred Consulting Experience: • Collaborate with sales and delivery teams to design AI solutions that meet client needs. • Develope stimates and proposals for AI projects, articulating the value and feasibility of proposed solutions. • Conduct technical presentations and demonstrations to clients and stakeholders. Education & Experience: • Bachelor'sDegree in Computer Science, Data Science or similar (relevant work experiences acceptable) • 3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP andLLMs. • Experience ina consulting environment, engaging with clients and delivering tailored solutions. Technical Skills: • Proficiency in programming languages such as Python or C#. • Proficiency IN Python and familiarity with ML frameworks such as PyTorch or TensorFlow. • Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. • Familiarity with RAG architectures and tools like Lang Chain , Semantic Kernel, or LlamaIndex. • Mode selection, validation, and workload optimization. • Knowledge of data processing and pipeline development using Azure Data Factory or similar tools. • Understanding of MLOps practices and tools for model lifecycle management. Soft Skills: • Strong analytical and problem-solving abilities. • Excellent communication and collaboration skills. • Ability to work independently and as part of a team in a dynamic, fast-paced environment.