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
- Build model inference APIs at scale
- Deploy models with Kubernetes and Docker
- Design machine learning pipelines
- Fine-tune and optimize large language models
- Implement data pipelines and model management
- Improve model latency and accuracy
- Manage GPU based model training and serving
- Manage experiments and models
- Manage features and retrain models
- Orchestrate LLM workflows
- Perform distributed training and serving for large language models
- Reduce training and resource requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Amazon Web Services | Azure | Azure AI | Azure Cosmos | Azure Cosmos DB | Azure OpenAI | Azure OpenAI Service | Cosmos DB | Data parallelism | Deep learning | DeepSpeed | Distributed Training | Docker | Docker Compose | Fine Tuning | Flowise | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Google Spanner | Hugging Face | JavaScript | Keras | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | OpenAI Service | PostgreSQL | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI | Web Services
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