About this role
Katalytx Analytics seeks an MLOps Engineer to operationalize machine learning models in production, with a focus on scalable, reliable and secure AI solutions. The position is listed for Hyderabad and Bangalore, India.
Responsibilities
- Design and implement scalable ML pipelines on Azure, using services such as Azure ML, Azure Data Factory and Azure DevOps. Automate model training, validation, deployment and retraining, and build CI/CD pipelines for ML workloads.
- Manage production models through versioning, monitoring, drift detection and retraining triggers. Troubleshoot deployment and model-performance issues.
- Integrate LLMs into applications using frameworks such as LangChain and implement orchestration frameworks for agentic systems.
- Work with data science and engineering teams to integrate models with applications and APIs. Build data-ingestion and transformation pipelines using Azure Data Lake, Databricks or Synapse, and apply Azure security, performance and cost-optimization practices.
Qualifications
- Bachelor’s degree in Engineering and at least 5 years of experience in DevOps and MLOps. Experience deploying ML models is required. The listing presents an overall experience range of 5–10 years.
Skills for this role
MLOpsMachine LearningML pipelinesAzure MLAzure Data FactoryAzure DevOpsCI/CDDevOpsModel deploymentModel monitoringModel versioningDrift detectionLLMsLangChainAgent orchestrationAzure Data LakeDatabricksAzure SynapseData ingestionData transformationCloud securityPerformance optimizationCost optimizationAPIs