IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Build LLM orchestration workflows
- Containerize applications with Docker
- Deploy services on Kubernetes
- Design machine learning pipelines
- Design model inference APIs at scale
- Fine-tune large language models
- Manage databases and data warehouses
- Manage machine learning experiments and models
- Optimize model latency and accuracy
- Perform distributed training and serving
- Provide data-driven decision support
- Reduce training and resource requirements
- Serve large language models
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Azure Cosmos | Azure Cosmos DB | Cloud Spanner | Cosmos DB | Data parallelism | DeepSpeed | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Google Cloud Spanner | Google Vertex | Google Vertex AI | Grafana | Hugging Face | Hugging Face Transformers | Keras | Kibana | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
Roles
Analyst | Associate | Data Analyst | Engineer | Learning Engineer | Machine Learning Engineer | Senior Associate
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