• AI/ML Engineer

    IRIS Consulting Corporation (Medina, 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 LangChain 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 them into solution development.

    Preferred Consulting Experience

    + Collaborate with sales and delivery teams to design AI solutions that meet client needs.

    + Develop estimates 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'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.

    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 LangChain, Semantic Kernel, or LlamaIndex.

    + Model 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.

     

    Equal opportunity employer including disability/veterans.