MLOps Engineer (Bengaluru) — Hiring: Deploy, Automate, Scale

 

🤖Hiring:  Career Opportunity: MLOps Engineer (Senior/Associate) 

Location: Bengaluru (Bangalore)
Experience: 4–12 years
Compensation: Up to ₹45L / year (Varies)
Job Source: Cutshort.io

Role Overview

Seeking a skilled MLOps Engineer to design, deploy, and maintain machine learning models with a strong focus on MLOps practices. You’ll work with Azure cloud services, Databricks, and MLflow to build robust, scalable ML solutions and ensure production-grade reliability.

Key Responsibilities

• Design and implement ML models and algorithms for complex business problems.
• Collaborate with data scientists to transition models into production-ready systems.
• Build scalable data pipelines for ML training and inference using Databricks.
• Manage the ML lifecycle with MLflow (experiment tracking, model versioning, registry).
• Deploy ML models in production using Azure Machine Learning, AKS, Azure Functions.
• Automate training, evaluation, deployment, and monitoring processes.
• Monitor model performance, detect drift, and implement retraining strategies.
• Collaborate with DevOps/Data Engineering teams for CI/CD integration.
• Document model architecture, data flows, and operational procedures.

Required Skills

• Strong proficiency in Python for ML and scripting.
• Hands-on with ML frameworks: Scikit-learn, TensorFlow, PyTorch, Keras.
• Experience with MLflow for experiment tracking and deployment.
• Proven expertise in Azure ML, Databricks, and related services.
• Solid understanding of MLOps principles (CI/CD for ML, monitoring, retraining).
• Experience with Docker, Kubernetes (AKS).
• Familiarity with SQL and data warehousing concepts.
• Strong problem-solving and collaboration skills.

Nice to Have

• Experience with AWS/GCP.
• Knowledge of Apache Spark and big data technologies.
• Familiarity with Azure DevOps CI/CD pipelines.
• Understanding of Responsible AI principles (fairness, explainability, privacy).
• Certifications: Azure AI Engineer Associate, Databricks ML Associate.

👉 Apply now 

👉 Or use this Referral Link: Apply with Referral

📌 Apply Here for future with Kunba HR Connect: Google Form

🌟 Why Join?

• Work on cutting-edge ML and MLOps solutions.
• Collaborate with data scientists, engineers, and enterprise clients.
• Competitive compensation up to ₹45L / year.
• Opportunity to build scalable ML systems in production.
• Be part of a fast-growing AI-first company driving innovation.

#KunbaHRConnect #MLOpsEngineer #Careers #AzureML #Databricks #MLflow #PythonDeveloper #MachineLearning #AIJobsIndia #TechCareersIndia #HiringAlert #CutshortJobs #CareerGrowth

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