IN_Senior Associate_AI Architect_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Deploy LLM models using containerization
- Design feature management pipelines
- Design machine learning pipelines for experiment management
- Design model inference APIs at scale
- Design model management systems
- Design model retraining workflows
- Fine-tune and optimize foundation models
- Implement DevOps for LLM pipelines
- Implement distributed serving for large language models
- Implement distributed training for large language models
- Manage LLM orchestration workflows
- Orchestrate containers in Kubernetes
- Plan GPU architecture for model training and serving
- Reduce latency and improve accuracy
- Reduce training and resource requirements for fine tuning
- Serve large language models
- Use data parallel training
- Use model parallel training
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | AWS Professional Solutions Architect | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Azure Cosmos | Azure Cosmos DB | Azure Solutions Architect | Azure Solutions Architect Expert | Azure solutions | Cloud Spanner | Container Orchestration | Cosmos DB | Data parallelism | DeepSpeed | DevOps | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Cloud | Google Cloud Spanner | Grafana | Hugging Face | Keras | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | Solutions architect | TensorFlow | VLLM | Vertex AI
Education
Roles
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