Senior Staff Engineer, Generative Ai
Tasks
- Automate CI/CD pipelines with Docker, Kubernetes, and GitHub Actions
- Build and deploy AI pipelines using SageMaker or Vertex AI
- Build scalable and enterprise-grade AI systems
- Collaborate with cross-functional teams
- Conduct proof-of-concept studies
- Deploy AI solutions on cloud platforms
- Design and develop GenAI and Agentic AI solutions
- Develop APIs using FastAPI and ORM
- Fine-tune and evaluate AI models
- Implement RAG architectures and prompt engineering
- Manage data pipelines with Airflow Kafka or Databricks
- Review architecture and design
- Scale AI solutions for live environments
- Translate business needs into technical solutions
- Write production-grade Python code
Perks/Benefits
- N/A
Skills/Tech-stack
AI/ML | AI/ML libraries | AWS | Agentic AI | Airflow | Argo | Azure ML | Bicep | CI/CD | Cloud Monitoring | Databricks | Docker | FastAPI | GenAI | Hugging Face | Hugging Face Transformers | Kafka | Kubernetes | Langchain | Llamaindex | ML Libraries | Model Context Protocol | Neo4j | PyTorch | Python | SQLAlchemy | SageMaker | Scikit-learn | TensorFlow | Terraform | Tortoise ORM | Transformers | Vector Databases | Vertex AI | Weaviate
Education
Roles
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