The company is looking to solve the problem of leveraging Artificial Intelligence and Machine Learning to create and deploy intelligent automation, predictive analytics, and other AI-powered tools, specifically using the Microsoft and Azure stack, to establish and build out the company's AI Center of Excellence (COE).
Requirements
- Proficiency in programming languages such as Python or R.
- Deep experience with the Microsoft Azure AI stack: Azure Machine Learning, Cognitive Services, Azure Databricks, Azure Data Factory.
- Experience with ML frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of data modeling, data warehousing, and predictive analytics.
- Knowledge of MLOps principles and tools for model deployment and management.
- Demonstrable experience with the Microsoft and Azure AI stack (e.g., Azure ML, Azure Cognitive Services, Azure Databricks, Power BI).
- Equivalent combination of education and experience will be considered.
Responsibilities
- Design and implement end-to-end AI and Machine Learning solutions, platforms, and tools.
- Develop solutions focused on Intelligent Automation and Predictive Analytics.
- Build and deploy models predominantly within the Microsoft and Azure Stack (e.g., Azure ML, Cognitive Services, Azure Databricks).
- Leverage the Google Vertex AI Stack(e.g., BigQuery, VertexAI, Imagen, Veo, Gemini API and Agentic Platform) where the toolset meets the business need.
- Collaborate with business stakeholders to gather user requirements, define project scope, and translate needs into technical specifications.
- Assist in the development, documentation, and governance of the AI Center of Excellence (COE).
- Drive AI/ML projects from initial conception and design through to deployment, monitoring, and resolution.
Other
- Bachelor's degree (B. S.) or equivalent from four-year college in Computer Science, Data Science, Artificial Intelligence, or related field preferred.
- 3-5+ years of hands-on experience in data science, machine learning, or AI engineering.
- CCNA / CCNP preferred but not required.
- This position will not have supervisory responsibilities.
- Must be eligible to receive team bonus based on meeting specific goals and KPI’s.
