Scientist 4, Data Science
Bengaluru, KA, India
INR 2520K-4600K (estimate) Senior-level Full Time
Tasks
- Architect AI ML and GenAI solutions on AWS
- Build data pipelines ETL and ELT frameworks
- Design cloud native data engineering architectures
- Develop RAG pipelines for enterprise applications
- Establish DevOps/MLOps best practices
- Implement data governance and security controls for AI workloads
- Mentor engineers and data professionals
- Prototype and deploy LLM based copilots and agents
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | Amazon Bedrock | Amazon EKS | Amazon EMR | Amazon Redshift | Amazon SageMaker | Amazon Web Services | Anthropic API | Apache Airflow | Apache Kafka | Apache Spark | CD pipelines | CI/CD | CI/CD pipelines | DBT | Databricks | Docker | Go | Graph Databases | Hugging Face | Java | Kubeflow | Kubernetes | LLMOps | Langchain | MLOps | MLflow | Neo4j | OpenAI API | PGVector | Pinecone | Python | RAG | Retrieval-Augmented Generation | SQL | Scala | Snowflake | Vector Databases | Weaviate | Web Services
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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