๐คHiring: 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.
๐ Or use this Referral Link: Apply with Referral
๐ Apply Here for future with Kunba HR Connect: Google Form
๐ 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.
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