Data Scientist - AgenticAI
Bangalore, Karnataka, India (Hybrid)
R
INR 1000K-1500K (estimate) Mid-level Full Time
Tasks
- Analyze performance and optimize cost
- Architect Agentic AI solutions
- Automate infrastructure provisioning
- Build agentic workflows
- Build microservices
- Build proof of concept genai
- Collaborate with security analysts
- Create CI/CD pipelines for ML
- Deploy and maintain AI systems
- Design multi-agent systems
- Develop REST APIs
- Implement MLOps best practices
- Integrate agentic AI into security workflows
- Manage model versioning
- Monitor models and infrastructure
- Operationalize Large Language Models
- Own machine learning lifecycle
- Set up automated testing and rollback
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS CodePipeline | AWS Lambda | Amazon ECS | Amazon EKS | Amazon SageMaker | Anomaly Detection | Automated retraining | CI/CD | CloudWatch | CrewAI | DVC | Data Pipelines | Docker | Embeddings | Feature Engineering | GitHub Actions | Grafana | Infrastructure as Code | Jenkins | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Prometheus | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | S3 | Series analysis | Terraform | Time Series | Time Series Analysis | Vector Database | “as-code”
Education
Roles
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