IN_Senior Associate_AI Architect_Data and Analytics_Advisory_Bangalore
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Deploy and manage ML services on Kubernetes
- 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
- Fine tune and optimize LLMs for latency and accuracy
- Implement LLMOps practices
- Optimize GPU architectures for training and serving
- Perform distributed serving for large language models
- Perform distributed training for large language models
- Reduce training and resource requirements for fine tuning
- Serve large language models
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS | AWS Bedrock | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure AI | Azure AI Foundry | Azure Cosmos | Azure Cosmos DB | Cloud Spanner | Cloud platform | Cosmos DB | Data Modeling | DeepSpeed | Distributed Serving | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Grafana | Hugging Face | Hugging Face Transformers | Keras | Kibana | Kubernetes | LangFlow | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Microsoft Azure | Model Fine-tuning | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | SQLite | TensorFlow | VLLM | Vertex AI
Education
Roles
AI | AI Architect | Architect
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