T
Tavant
Data Scientist/AI-ML Engineer
Skills
PythonMicroservicesGrafanaMachine LearningAIAWSKubernetesApache Airflow
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
15 September 2026
What they need
- Design and develop end-to-end agentic AI workflows and RAG pipelines using LangChain and LangFlow
- Build and maintain production-grade Python services and microservices exposing AI capabilities through REST APIs and event-driven interfaces
- Develop reusable Python libraries and utilities that accelerate AI pipeline development, data transformations, and integration workflows
- Build GenAI-powered financial document parsing solutions for extracting and analyzing accounting statements for audit and business insights
- Develop data orchestration pipelines with master data propagation, quality validation, and freshness checks across downstream systems
- Design conversational AI chatbots and self-service interfaces for internal users to query enterprise data, reports, and business processes
- Create embeddable UI components that integrate AI capabilities into existing enterprise platforms
- Implement enterprise integrations including SSO, Slack workflows, and LLM provider APIs across AWS Bedrock and related AWS AI services
- Containerize and deploy Python-based AI services on Kubernetes with high availability and operational observability
- Build, train, and run comparative analysis of ML models to select optimal approaches for business problems
- Implement MLOps pipelines using Airflow and maintain model observability using Grafana, Arize, or similar tools
- Write clean, well-documented, and testable Python code following unit testing, CI/CD, and code review standards
- Provide ongoing support and maintenance for deployed AI models, pipelines, and services in production
- Stay current with emerging trends in Generative AI and agentic frameworks to continuously enhance solution quality
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