IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Build APIs for model inference
- Containerize services with Docker
- Create model retraining workflows
- Deploy models with Kubernetes
- Design data pipelines
- Design machine learning pipelines
- Fine-tune LLM models
- Implement ML Ops practices
- Manage cloud-based ML services
- Manage machine learning experiments
- Manage model lifecycle
- Model data for analytics
- Optimize distributed training and serving
- Optimize model latency and accuracy
- Orchestrate LLM workflows
- Serve large language models
- Use data warehouses and databases
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Amazon RDS | Amazon Web Services | Azure AI | Azure Cosmos | Azure Cosmos DB | Azure OpenAI | Cosmos DB | Data parallelism | DeepSpeed | Distributed Training | Docker | DynamoDB | Fine Tuning | Flask | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Vertex | Google Vertex AI | Grafana | Hugging Face | Hugging Face Transformers | JavaScript | Keras | Kibana | Kubernetes | LLM Fine-tuning | LLM serving | LangFlow | Langchain | Langgraph | Llamaindex | MLflow | Microsoft Azure | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | Spanner | TensorFlow | VLLM | Vertex AI | Web Services
Education
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