IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply lllmops devops practices
- Build model inference APIs at scale
- Deploy and orchestrate ml services on kubernetes and docker
- Design ML pipelines for experiment management and model management
- Fine tune and optimize llm models for accuracy and latency
- Manage feature management and model retraining
- Perform distributed training and distributed serving
- Reduce training and resource requirements for fine tuning
- Serve large language models for low latency
- Use llm orchestration frameworks for workflows
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | AWS Machine Learning | AWS Machine Learning Specialty | AWS Professional Solution Architect | Amazon SageMaker | Aurora | Azure | Azure AI | Azure Solutions Architect | Azure Solutions Architect Expert | Azure solutions | BigQuery | Cosmos DB | DeepSpeed | DevOps | Docker | DynamoDB | Fine Tuning | Flowise | Fluentd | GCP | GPU Architecture | Generative AI | Grafana | Hugging Face | Keras | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Optimization | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | RDS | SQL | Solution Architect | Solutions architect | Spanner | TensorFlow | VLLM | Vertex AI
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