Machine Learning Engineer

Requirements: The ideal candidate will have hands-on experience building and supporting Agentic AI solutions, integrating Large Language Models (LLMs), and developing scalable AI workflows in cloud environments. This position is less focused on traditional machine learning model development and more focused on the practical implementation, optimization, and operationalization of AI agents in production environments. Hands-on experience with agent orchestration frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK).Engineer will be assigned business use cases and will own the design, implementation, and continuous improvement of AI-driven solutions that enhance decision-making and workflow efficiency across multiple business domains. Strong Python development experience Experience building or supporting AI Agents and Agentic Workflows Experience working with LLMs and Generative AI technologies Exposure to AI SDKs such as OpenAI, Anthropic, or similar platforms Experience integrating APIs into AI-driven solutionsGCP cloud experience, including BigQuery and cloud-native services Experience working with unstructured data Understanding of AI agent optimization, deployment, and operational performance Background in AI Engineering, Software Engineering, Machine Learning Engineering, or Data Engineering Experience deploying containerized applications using Docker Exposure to CI/CD processes and automation pipelines Experience working in multi-cloud environments (GCP preferred, Azure exposure helpful) Retail, supply chain, planning, forecasting, or allocation experience is a plusSQL and/or R experience Why Should You Apply? Health Benefits Referral Program Excellent growth and advancement opportunities