IN_Director_AI Architect_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2000K-3300K (estimate) Senior-level Full Time
Tasks
- Containerize services with Docker
- Deploy models on Kubernetes
- Design ML pipelines
- Develop model inference APIs at scale
- Fine-tune LLMs
- Implement DevOps practices for ML
- Implement LLMOps practices
- Manage ML experiments
- Manage ML features
- Manage ML models
- Optimize GPU architecture utilization
- Optimize model accuracy
- Optimize model latency
- Orchestrate LLM workflows
- Perform distributed model serving
- Perform distributed training
- Reduce training resource requirements
- Retrain ML models
- Serve large language models
- Use LLM orchestration frameworks
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure AI | Azure Aurora | Azure OpenAI | Azure OpenAI Service | Cloud Computing | Container Orchestration | Cosmos DB | Data parallelism | Deep learning | DeepSpeed | DevOps | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Vertex | Google Vertex AI | Grafana | Hugging Face | Hugging Face Transformers | JavaScript | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | ML Pipeline | MLflow | Machine Learning | Microsoft Azure | Microsoft Azure AI | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | OpenAI Service | PostgreSQL | Prometheus | Python | SQL | SageMaker | VLLM | Vertex AI
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