About us
As a leading provider of high-quality food and beverage ingredients, we work with farming communities across the globe to grow, source and produce ingredients that are positive for consumers, farmers, and the world around us. We supply household food brands and manufacturers worldwide with cocoa, coffee, dairy, nuts and spices ingredients which are often grown on our own farms and estates and sourced from hundreds of thousands of farmers across ~50 countries. Along with our diverse manufacturing and innovation capabilities, this means we can provide ingredients for a range of products, from a plant-based latte mix to an almond based snack bar or a dairy-free ice cream. Making a positive impact on people and planet is a core component of our Purpose, to be the change for positive food and a healthy future. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable, and transparent supply. And whoever we’re with, whatever we’re doing, we always make it real.

Overview of the position




We are looking for an experienced MLOps Engineer to design, build, and maintain scalable machine learning infrastructure on AWS, with a strong focus on DevOps practices, agentic AI system deployment, and end-to-end SDLC ownership. You will bridge the gap between data science, software engineering, and cloud operations — enabling reliable, secure, and automated delivery of ML models and AI agent workflows into production.

Key Responsibilities
MLOps & AI Agentic Systems
• Design and implement CI/CD pipelines for ML models and AI agentic workflows (LLM-based agents, multi-agent orchestration).
• Deploy, monitor, and scale agentic AI applications (e.g., LangChain, AutoGen,, Bedrock Agents) in production settings.
• Build model versioning, experiment tracking, and feature store solutions (e.g., MLflow, SageMaker, Feast).
• Implement observability, logging, and evaluation frameworks for AI a

📌 Machine Learning Engineer Bengaluru (India)
🏢 ofi
📍 India