• Develop and integrate machine learning models using Python.
• Assist in building and maintaining APIs for internal AI platform use.
• Support the development of MCP servers for connecting enterprise tools and data.
• Contribute to AI chat features, including multi-modal support and knowledge grounding (RAG).
• Help implement governance and security measures for AI solutions.
• Data Engineering: Assist with data pipelines, feature engineering, and data preparation for ML models.
• Test, document, and troubleshoot AI features and integrations.

Required Skills:

• Bachelor’s/Master’s in CS, Engineering, Data Science, Mathematics, or related quantitative field.
• Strong proficiency in Python and solid ML knowledge (algorithms, model training, evaluation).
• Understanding of AI/ML concepts and their practical application.
• An aptitude for system integration and problem-solving.
• A passion for AI, ML, and a drive to learn quickly.
• Excellent collaboration and communication skills.

Nice to have:

• Data Engineering experience (ETL, data pipelines, SQL).
• Experience with MCP server development or management.
• Familiarity with integrating JIRA, Confluence, ServiceNow, Google Workspace, Microsoft 365, or similar enterprise tools.
• Experience with RAG (Retrieval-Augmented Generation) systems or building knowledge bases.
• Cloud platform experience (AWS, Azure, GCP).
• Familiarity with enterprise IT security.