IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build APIs for model inference at scale
- Deploy models using Kubernetes and Docker
- Design ML pipelines for experiment management
- Design ML pipelines for feature management
- Design ML pipelines for model management
- Design ML pipelines for model retraining
- Fine-tune large language models
- Implement LLMOps practices
- Optimize model latency and accuracy
- Orchestrate LLM workflows
- Perform distributed serving for large language models
- Perform distributed training for large language models
- Reduce training and resource requirements
- Serve large language models
Perks/Benefits
Skills/Tech-stack
AWS Aurora | AWS Bedrock | Amazon DynamoDB | Amazon SageMaker | Azure AI | Azure Cosmos | Azure Cosmos DB | Cloud Spanner | Container Orchestration | Cosmos DB | Data parallelism | DeepSpeed | DevOps | Distributed Training | Docker | Fine Tuning | Flowise | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Google Cloud Spanner | Google Vertex | Google Vertex AI | Hugging Face | Keras | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Microsoft Azure | Microsoft Azure AI | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | PostgreSQL | PyTorch | Python | RDS | SQL | TensorFlow | VLLM | Vertex AI
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