ML Cloud Engineer | Bangalore

Overview 
We are seeking a Mid-Level ML Dev / Cloud Engineer to support the development, deployment, and optimization of machine learning services in a cloud-native environment. This role focuses on building scalable pipelines, integrating models into production, and ensuring reliable cloud infrastructure for ML applications. The ideal candidate has hands-on experience with ML workflow tools, cloud orchestration, and software development best practices. 

Responsibilities 

• Develop, maintain, and optimize ML pipelines, including data ingestion, preprocessing, feature engineering, and model deployment. 

• Integrate machine learning models into production-grade APIs and services. 

• Collaborate with data scientists to transition research models into scalable, cloud-ready solutions. 

• Build automated workflows for model training, evaluation, monitoring, and CI/CD. 

• Manage and optimize cloud infrastructure for compute, storage, orchestration, and networking. 

• Implement model performance monitoring, logging, and automated alerting. 

• Ensure reliability, scalability, and cost-efficiency of ML environments. 

• Support containerization and microservices deployment using Docker/Kubernetes. 

• Troubleshoot production ML workflows and resolve performance bottlenecks. 

• Follow best practices for security, compliance, and version control within ML and