IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Deploy models with Kubernetes and Docker
- Design ML pipelines for experiment management
- Design feature management
- Design model management
- Design model retraining pipelines
- Develop APIs for model inference
- Fine-tune and optimize large language models
- Implement DevOps and LLMOps practices
- Implement distributed training for large language models
- Implement model and data parallel training
- Manage MLflow experiments and model lifecycle
- Manage model deployments with SageMaker and Vertex AI
- Optimize model latency and accuracy
- Orchestrate LLM workflows with LangChain
- Orchestrate LLM workflows with LangGraph
- Reduce fine tuning training resources
- Serve large language models at scale
- Use AWS Bedrock for LLM deployment
Perks/Benefits
Skills/Tech-stack
AI Foundry | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Amazon Web Services | Azure AI | Azure AI Foundry | Azure Cosmos DB | Cloud Spanner | Container Orchestration | Cosmos DB | DeepSpeed | Docker | Flowise | Google BigQuery | Google Cloud | Google Cloud Spanner | Hugging Face | JavaScript | Keras | Kubernetes | LLM orchestration | LangFlow | Langchain | Langgraph | MLflow | Machine Learning | Microsoft Azure | Microsoft Azure Cosmos DB | MongoDB | MySQL | PostgreSQL | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI | Web Services
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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