MLOps Engineer

This role is for one of the Weekday's clients

Min Experience : 3 years

Location : Bangalore

JobType : full-time

We are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment, ensuring scalable, reliable, and production-ready ML solutions.

Requirements

Key Responsibilities

• Build and manage ML pipelines across the full lifecycle : data / feature engineering, model training / inference, and real-time / batch processing .
• Work extensively with Azure and Databricks platforms to enable scalable ML solutions.
• Develop backend services and APIs using FastAPI to support ML workflows.
• Implement MLOps best practices, including monitoring data drift, model drift, and online learning .
• Collaborate with data engineers, data scientists, and cross-functional stakeholders to deliver business-focused ML solutions.
• Use Python, PySpark, and T-SQL for development and data orchestration.
• Set up and maintain CI / CD workflows with GitHub Actions for continuous integration and deployment.
• (Good to have) Contribute to deployment and monitoring of LLM-based GenAI solutions .

Qualifications

Skills