IN_Senior Associate_AI Architect_Data and Analytics_Advisory_Bangalore
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply LLMOps practices
- Build model inference APIs at scale
- Containerize services with Docker
- Deploy ML systems on 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
- Implement distributed serving
- Implement distributed training
- Optimize model latency and accuracy
- Orchestrate LLM workflows
- Perform model fine-tuning
- Plan GPU architecture for model training and serving
- Reduce training and resource requirements for fine tuning
- Serve large language models
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Machine Learning | AWS Machine Learning Specialty | AWS Professional Solution Architect | Amazon RDS | Amazon SageMaker | Artificial Intelligence | Aurora | Azure AI | Azure Cosmos | Azure Cosmos DB | Azure Solutions Architect | Azure Solutions Architect Expert | Azure solutions | Cloud Spanner | Cosmos DB | Data parallelism | DeepSpeed | DevOps | Distributed Training | Docker | DynamoDB | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Cloud | Google Cloud Spanner | Grafana | Hugging Face | Keras | Kibana | Kubernetes | LLM | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | Solution Architect | TensorFlow | VLLM | Vertex AI
Education
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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