Gen AI Engineer
Tasks
- Apply responsible AI bias detection explainability auditability
- Build real-time and batch processing systems
- Build vector database based retrieval systems
- Create scalable data pipelines
- Deploy and manage GenAI solutions on cloud
- Design and build GenAI pipelines
- Develop and fine-tune LLM solutions
- Implement CI CD monitoring and governance
- Implement Retrieval-Augmented Generation architectures
- Implement data governance and lineage
- Integrate financial services domain use cases
- Integrate structured and unstructured data
Perks/Benefits
- Ethical work culture
- Hybrid working
- Learning courses and certifications
- Mentoring and career progression
- Training and development opportunities
- Wellbeing programs
Skills/Tech-stack
AI Search | AWS | Azure | Azure AI | Azure AI Search | Azure OpenAI | BigQuery | CI/CD | Data Lakes | Databricks | Databricks Delta | Databricks Delta Lake | Delta Lake | Docker | Embeddings | Event Hub | Faiss | GCP | Generative AI | Git | Kafka | Kubernetes | Lakehouse architectures | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Microservices | Pinecone | Prompt engineering | PySpark | Python | REST APIs | Retrieval-Augmented Generation | SQL | Snowflake | Spark | Terraform | Vector Databases
Education
N/A
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