AI/ML Engineer

• 1-2 years of supervisor experience
• Design, develop, and implement models using GenAI (LLMs, agentic frameworks) and/or traditional ML on the cloud.
• Write and deploy scalable Python APIs for model inference that can run on Kubernetes, ensuring efficient containerization and orchestration of the agentic flows.
• Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence.
• Utilize agentic coding and version control tools such as GitHub Copilot, Claude, etc for code creation, management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation.

Your Skills & Experience:

• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt, etc) or LLMs (RAG, vector db, embeddings) in a production setting using large amounts of data with a solid knowledge of NLP concepts
• 5+ years of experience applying Machine Learning techniques in a commercial enterprise, including supervised, unsupervised learning, time-series forecasting and other statistical analyses
• 1+ years of experience designing and implementing MCP and A2A based agentic frameworks in an enterprise setting
• Experience building scalable APIs for the models
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience