IN_Senior Associate_ GEN AI_D&A_Advisory_Pune
Tasks
- Build retrieval-augmented generation pipelines
- Build scalable cloud-based AI pipelines
- Deploy and monitor AI models using MLOps
- Design and implement generative AI applications
- Develop LLM solutions using prompt engineering and fine tuning
- Develop RESTful APIs
- Develop and preprocess data with PySpark and Python
- Evaluate generative AI models
- Generate embeddings and manage vector databases
- Implement data security access control and cost optimization
- Integrate AI systems into business intelligence and automation solutions
- Integrate LLM APIs into enterprise applications
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS Lambda | AWS Step Functions | Amazon CloudWatch | Amazon SageMaker | Docker | ETL | Embedding Generation | Faiss | Fine Tuning | Generative AI | Git | Kubernetes | LLM APIs | Langchain | Language Models | Large Language Models | MLOps | Microservices | Model Evaluation | Model Monitoring | OpenSearch | Pinecone | Prompt engineering | PySpark | PyTorch | Python | RAG Pipelines | RESTful APIs | Retrieval-Augmented Generation | Step Functions | TensorFlow | Transformers | Vector Databases
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