IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build and query cloud data warehouses
- Build model inference APIs at scale
- Deploy and orchestrate containers on Kubernetes
- Design machine learning pipelines
- Fine-tune and optimize Language Models
- Implement MLflow model management
- Implement model parallelism and data parallelism
- Integrate with cloud ML services
- Manage ML experiments models features and retraining
- Model and manage feature data for ML
- Orchestrate LLM workflows
- Perform distributed training for large language models
- Reduce training latency and resource usage
- Serve large language models with GPU architecture
- Set up DevOps and LLMOps pipelines
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Alteryx | Amazon RDS | Amazon SageMaker | Azure AI | Azure OpenAI | Azure Storage | Container Orchestration | Cosmos DB | Data parallelism | DeepSpeed | DevOps | Distributed Training | Docker | DynamoDB | Fine Tuning | Flowise | GPU Architecture | Google BigQuery | Google Spanner | Hugging Face | JavaScript | Keras | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | PostgreSQL | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
Education
Roles
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