Interesting Job Opportunity: MLOps Engineer

Description We are seeking a skilled ML Ops Engineer to join our team and drive the operationalization of machine learning models into production. The ideal candidate will have a strong background in machine learning pipelines, cloud platforms, and DevOps practices, ensuring that AI solutions are scalable, reliable, and secure.

Key Responsibilities

• Design and implement robust and scalable ML pipelines on Azure (using Azure ML, Azure Data Factory, Azure DevOps, etc.)
• Automate model training, validation, deployment and retraining workflows.
• Manage and monitor models in production (versioning, drift detection, retraining triggers).
• Implement CI/CD pipelines tailored for ML workloads.
• Exposure on Integrating LLMs into applications with frameworks like LangChain.
• Implementation of Orchestration framework for building and managing agentic System.
• Collaborate with Data Science and Engineering teams to ensure smooth integration of models with applications and APIs.
• Handle data ingestion and transformation pipelines using Azure Data Lake, Databricks, or Synapse.
• Apply best practices in security, performance, and cost optimization in Azure cloud environments.
• Troubleshoot and resolve deployment and model performance :
• Bachelors in Engineering
• 5+ yrs Experience in DevOps + MLOps
• Experience in deploying ML models (ref:hirist.tech)