IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply MLOps and DevOps practices
- Build data warehouses and analytics
- Create model inference APIs
- Deploy models with Kubernetes
- Design ML pipelines
- Implement LLM orchestration
- Manage ML experiments and models
- Optimize model fine tuning
- Perform data manipulation, visualization, and statistical modeling
- Reduce latency and training costs
- Support distributed LLM training and serving
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Azure solutions | Cloud platform | Cosmos DB | Deep learning | DeepSpeed | Docker | Elasticsearch | Fine Tuning | Flowise | Fluentd | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Grafana | Hugging Face | Hugging Face Transformers | Keras | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
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