IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply MLOps and LLMOps best practices
- Deploy and manage ML services on Kubernetes
- Design ML pipelines for experiment management
- Develop model inferencing APIs at scale
- Fine-tune and optimize large language models
- Implement distributed training and serving
- Integrate and query data warehouses and databases
- Manage ML models and retraining
- Orchestrate LLM workflows
- Reduce training and resource costs for fine tuning
- Serve large language models for low latency
- Use GPU architectures for training and serving
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Amazon RDS | Amazon SageMaker | Amazon Web Services | Azure | Azure AI | Cloud platform | Cosmos DB | Data Modeling | Data Pipelines | Data parallelism | DeepSpeed | Distributed Training | Docker | DynamoDB | Flowise | GPU Architecture | GPU serving | Generative AI | Google BigQuery | Google Cloud | Google Cloud Platform | Hugging Face | JavaScript | Keras | Kubernetes | LangChain Orchestration | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Model Parallelism | MongoDB | MySQL | PostgreSQL | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI | Web Services
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