Data Scientist
Bangalore - Karnataka - India
INR 2500K-4680K (estimate) Senior-level Full Time
Tasks
- Apply NLP techniques
- Architect and implement RAG pipelines
- Build Agentic AI workflows
- Build data pipelines and feature stores
- Collaborate with DevOps teams
- Deploy scalable cloud solutions
- Develop and deploy AI/ML models
- Ensure data security and compliance
- Implement MLOps with MLflow
- Set up CI/CD pipelines
- Use cloud native AI services
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | AWS Cloud | AWS Cloud Native | AWS Cloud Native services | AWS IAM | AWS Lambda | AWS S3 | AWS Step Functions | Agentic AI | Anthropic | Azure | Azure Functions | Azure ML | Azure ML Studio | Azure Monitor | Azure OpenAI | BigQuery | CI/CD | Cloud Functions | Cloud Native Services | CloudWatch | Databricks | Docker | Entity Extraction | Faiss | GCP | GCP Cloud | GCP Cloud Functions | GitLab | Google Dataflow | Knowledge graph | Kubernetes | Langchain | Langgraph | Llama | ML Studio | MLflow | NLP | Native services | OpenAI | Pinecone | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SageMaker | Step Functions | TensorFlow | Text Classification | Vector Databases | Vertex AI | Weaviate
Education
Roles
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