IN_Senior Associate_AI Architect_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Deploy LLM workflows on Kubernetes and Docker
- Design APIs for model inferencing at scale
- Design ML pipelines for experiment management
- Design ML pipelines for feature management
- Design ML pipelines for model management
- Design ML pipelines for model retraining
- Develop distributed training for large language models
- Implement model fine-tuning and optimization
- Optimize model latency and accuracy
- Orchestrate LLM workflows using orchestration frameworks
- Reduce training and resource requirements for fine tuning
- Serve large language models for inference at scale
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure AI | Azure Cosmos | Azure Cosmos DB | Cloud Spanner | Container Orchestration | Cosmos DB | Data Modeling | Data pipeline | Deep learning | DeepSpeed | Distributed Training | Docker | Fine Tuning | Flowise | GPU Architecture | Google BigQuery | Google Cloud | Google Cloud Spanner | Google Vertex | Google Vertex AI | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | MongoDB | MySQL | PostgreSQL | Python | SQL | VLLM | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Business Administration | Master of Computer Applications
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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