IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Build model inference APIs
- Deploy and orchestrate containers with Kubernetes
- Design machine learning pipelines
- Develop LLM orchestration workflows
- Fine-tune and optimize models
- Implement data analysis for insights
- Implement distributed model serving
- Implement distributed training
- Manage experiments
- Manage features
- Manage models
- Model data with statistical modeling
- Optimize latency and accuracy
- Reduce training compute for fine tuning
- Retrain models
- Serve large language models
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Alteryx | Amazon DynamoDB | Amazon SageMaker | Azure AI | Azure Cosmos | Azure Cosmos DB | Cloud Spanner | Container Orchestration | Cosmos DB | DeepSpeed | DevOps | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Google Cloud Spanner | Grafana | Hugging Face | JavaScript | Keras | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Optimization | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | RDS | SQL | TensorFlow | VLLM | Vertex AI
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