Your Job

As a Machine Learning Engineer at Koch Capabilities India, you will ensure production machine learning solutions remain reliable, scalable, and trusted by the business teams who depend on them every day. You will partner closely with data scientists, data engineers, and business stakeholders to operationalize machine learning models, maintain healthy data pipelines, and drive adoption of AI-enabled solutions across manufacturing, procurement, supply chain, and research functions.

In this role, you will bridge the gap between model development and business value by owning deployment, monitoring, troubleshooting, and continuous improvement of production machine learning systems.

Our Team

You will be part of the Data & Analytics capability supporting INVISTA and other Koch companies through Koch Capabilities India. Our team partners with business and technology stakeholders to build, deploy, and support data-driven solutions that improve decision-making and create long-term value. We combine analytics, engineering,



and domain expertise to deliver reliable and scalable AI and machine learning capabilities across global operations.

What You Will Do

• Monitor production data pipelines and resolve issues before they impact downstream models or business users.
• Maintain the reliability, performance, and availability of machine learning solutions in production environments.
• Identify model drift, data quality issues, and performance degradation, and implement corrective actions.
• Troubleshoot production incidents including failed pipelines, model retraining failures, stale datasets, and API or endpoint issues.
• Partner with stakeholders to understand business problems, evaluate available data, and define solution requirements.
• Assess whether business challenges are best addressed through machine learning, analytics, automation, reporting, or process improvements.
• Prepare and transform data, engineer features, and validate outputs to support advanced an

📌 ML Engineer (Bengaluru)
🏢 Koch
📍 Bengaluru