IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build APIs for model inferencing at scale
- Deploy and manage services with Kubernetes
- Design ML pipelines for experiment management
- Design ML pipelines for feature management
- Design ML pipelines for model management
- Design ML pipelines for model retraining
- Design distributed training and serving
- Fine-tune and optimize LLM models
- Implement container based inference and training
- Implement llmoops practices
- Optimize latency and accuracy
- Orchestrate LLM workflows with LangChain
- Reduce training and resource requirements for fine tuning
- Serve large language models at scale
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Amazon SageMaker | Aurora PostgreSQL | Azure | Azure AI | Azure RDS | Cloud Computing | Cosmos DB | DeepSpeed | Distributed Training | Docker | DynamoDB | Fine Tuning | Flowise | Fluentd | GCP | GPU Architecture | Google BigQuery | Google Spanner | Grafana | Hugging Face | JavaScript | Keras | Kibana | Kubernetes | LLM serving | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Model Fine-tuning | Model Optimization | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | Transformers | VLLM | Vertex AI
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