IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Containerize applications with Docker
- Deploy services on Kubernetes
- Design ML pipelines
- Develop model inference APIs
- Implement model fine-tuning and optimization
- Manage experiments models and features
- Optimize GPU based distributed training
- Orchestrate LLM workflows
- Reduce latency and resource usage
- Retrain machine learning models
- Serve large language models
- Set up monitoring and observability
Perks/Benefits
Skills/Tech-stack
AI Services | AWS Bedrock | Amazon Aurora | Amazon Bedrock | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure AI | Azure AI Services | Azure Cosmos | Azure Cosmos DB | Container Orchestration | Cosmos DB | Data parallelism | Deep learning | DeepSpeed | DevOps | Distributed Training | Docker | Flowise | Fluentd | GPU Architecture | Generative AI | Google BigQuery | Google Spanner | Google Vertex | Google Vertex AI | Grafana | Hugging Face | JavaScript | Keras | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
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