IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply model and data parallel training
- Build model inference APIs
- Deploy services with Kubernetes and Docker
- Design machine learning pipelines
- Fine-tune and optimize large language models
- Implement DevOps and LLMOps practices
- Manage ML experiments
- Manage feature pipelines
- Manage machine learning models
- Optimize model latency and accuracy
- Orchestrate LLM workflows
- Reduce training and resource requirements
- Retrain models
- Serve large language models
- Support distributed training
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Cloud logging | Cosmos DB | DeepSpeed | Distributed Training | Docker | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Cloud | Google Vertex | Google Vertex AI | Grafana | Hugging Face | JavaScript | Keras | Kibana | Kubernetes | LangFlow | Langchain | Langgraph | Llamaindex | MLflow | Machine Learning | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | PyTorch Lightning | Python | SQL | TensorFlow | VLLM | Vertex AI
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