IN_Senior Associate_ GEN AI_D&A_Advisory_Pune
Tasks
- Build microservices for AI system integration
- Build retrieval-augmented generation pipelines
- Deploy and monitor AI models using MLOps
- Design and deploy scalable AI pipelines on AWS
- Develop and integrate RESTful APIs
- Develop generative AI solutions for enterprise applications
- Evaluate generative AI models
- Generate embeddings and integrate vector databases
- Implement ETL pipelines
- Implement LLM prompt engineering and fine tuning
- Implement data security and access control
- Optimize cloud costs
- Preprocess data using PySpark
Perks/Benefits
- N/A
Skills/Tech-stack
AI frameworks | API Gateway | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon CloudWatch | Amazon SageMaker | Data Governance | DevOps | Docker | ETL | Embeddings | Faiss | Fine Tuning | Generative AI | Git | Kubernetes | LLM APIs | Langchain | Language Models | Large Language Models | MLOps | Microservices | Model Evaluation | OpenSearch | Pinecone | Prompt engineering | PySpark | PyTorch | Python | REST APIs | Responsible AI | Responsible AI frameworks | Retrieval-Augmented Generation | Step Functions | TensorFlow | Transformers | Vector Databases
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