IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Build APIs for model inferencing at scale
- Conduct model fine tuning and optimization
- Deploy services with 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
- Implement MLflow model management
- Manage data in cloud databases and data warehouses
- Orchestrate LLM workflows with LangChain
- Orchestrate LLM workflows with LangGraph
- Perform distributed training and serving for large language models
- Reduce latency and improve accuracy
- Reduce training and resource requirements for fine tuning
- Serve Hugging Face models
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Azure OpenAI | Azure OpenAI Service | Cloud Spanner | Cosmos DB | Data parallel training | Data-parallel | DeepSpeed | Docker | Flowise | Google BigQuery | Google Cloud | Google Cloud Spanner | Google Vertex | Google Vertex AI | Hugging Face | JavaScript | Keras | Kubernetes | LangFlow | Langchain | Langgraph | Llamaindex | MLflow | Microsoft Cosmos DB | Model Parallel Training | Model-parallel | MongoDB | MySQL | OpenAI Service | Parallel training | PostgreSQL | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
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