Top Skills:
ReactDatabricksSqlAwsPython ProgrammingLanggraphLangchainMlops PracticesNext.JsHybrid Cloud DeploymentsGenai Orchestration FrameworksAutomationAwsCi/cdCi/cd PipelineDashboardData PipelineDatabricksHybrid CloudNext.jsProduction SupportPythonReactSlaSqlState ManagementUx
Job Description
- Lead the implementation of GenAI orchestration frameworks such as LangChain and LangGraph, and apply the Model Context Protocol (MCP) to connect LLMs with real-time data and tools.
- Build and maintain self-healing CI/CD pipelines that automate model evaluation (hallucination checks, drift detection) and deployment across hybrid cloud environments.
- Collaborate with UX teams to integrate GenAI outputs (streaming text, multimodal assets) into React/Next.js applications, ensuring sub-second latency and smooth state management.
- Respond to and resolve production issues in line with SLA commitments.
- Troubleshoot user issues and handle service requests efficiently.
- Monitor data pipelines, identify failures, and implement corrective actions.
- Track and improve model performance, applying necessary corrections.
- Refresh dashboards and ensure accuracy of data presented to stakeholders.
Job Requirement
- Strong expertise in GenAI orchestration frameworks (LangChain, LangGraph) and MCP.
- Hands-on experience with CI/CD automation, MLOps practices, and hybrid cloud deployments.
- Hands-on experience in AWS, Databricks
- Proficiency in Python Programming
- Strong expertise in SQL
- Proficiency in frontend integration with React/Next.js.
- Solid background in production support, incident resolution, and data pipeline monitoring.
- Ability to work cross-functionally with engineering and UX teams to deliver reliable, high-performance solutions.
ML Support Engineer
Tiger Analytics
foundit
Chennai, India
Fresher Not Disclosed
Full time
30 April 2026
Top Skills:
ReactDatabricksSqlAwsPython ProgrammingLanggraphLangchainMlops PracticesNext.JsHybrid Cloud DeploymentsGenai Orchestration FrameworksAutomationAwsCi/cdCi/cd PipelineDashboardData PipelineDatabricksHybrid CloudNext.jsProduction SupportPythonReactSlaSqlState ManagementUx
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Job Description
Download ResumeJob Description
- Lead the implementation of GenAI orchestration frameworks such as LangChain and LangGraph, and apply the Model Context Protocol (MCP) to connect LLMs with real-time data and tools.
- Build and maintain self-healing CI/CD pipelines that automate model evaluation (hallucination checks, drift detection) and deployment across hybrid cloud environments.
- Collaborate with UX teams to integrate GenAI outputs (streaming text, multimodal assets) into React/Next.js applications, ensuring sub-second latency and smooth state management.
- Respond to and resolve production issues in line with SLA commitments.
- Troubleshoot user issues and handle service requests efficiently.
- Monitor data pipelines, identify failures, and implement corrective actions.
- Track and improve model performance, applying necessary corrections.
- Refresh dashboards and ensure accuracy of data presented to stakeholders.
Job Requirement
- Strong expertise in GenAI orchestration frameworks (LangChain, LangGraph) and MCP.
- Hands-on experience with CI/CD automation, MLOps practices, and hybrid cloud deployments.
- Hands-on experience in AWS, Databricks
- Proficiency in Python Programming
- Strong expertise in SQL
- Proficiency in frontend integration with React/Next.js.
- Solid background in production support, incident resolution, and data pipeline monitoring.
- Ability to work cross-functionally with engineering and UX teams to deliver reliable, high-performance solutions.