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 for production deployment
- Build APIs for model inferencing at scale
- Deploy and orchestrate services using Kubernetes and Docker
- Design ML pipelines for experiment management model management feature management model retraining
- Implement distributed training and serving for large language models
- Optimize latency and accuracy of model outputs
- Perform model fine-tuning and optimization
- Reduce training and resource requirements for fine tuning
- Use LLM orchestration frameworks for workflow management
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Amazon Aurora | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Cloud Spanner | Cosmos DB | Data parallelism | DeepSpeed | Distributed Training | Docker | DynamoDB | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Cloud | Google Vertex | Google Vertex AI | Grafana | Hugging Face | JavaScript | Keras | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Optimization | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
Education
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