MLOps Engineer

16 hours ago


Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 18,00,000 per year

This role is for one of the Weekday's clientsMin 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
  • 3–5 years of relevant experience as an MLOps Engineer.
  • Strong hands-on expertise in MLOps, Python, PySpark, Azure Databricks, and CI/CD pipelines.
  • Knowledge of backend frameworks (FastAPI) and modern cloud-based ML deployments.
  • Strong problem-solving, debugging, and collaborative skills.
Skills
  • Core: MLOps, Python, PySpark, T-SQL, Azure Databricks, CI/CD (GitHub Actions), FastAPI
  • Preferred: LLM-based GenAI deployment

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