IN_Senior Associate_AI Engineer _Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply DevOps practices for LLMOps
- Deploy models using Kubernetes and Docker
- Design machine learning pipelines for experiment management
- Design machine learning pipelines for feature management
- Design machine learning pipelines for model management
- Design model retraining workflows
- Develop APIs for model inferencing at scale
- Implement model fine-tuning and optimization
- Manage machine learning lifecycle with MLflow
- Orchestrate LLM workflows
- Reduce latency and improve accuracy
- Reduce training and resource requirements for fine tuning
- Serve large language models
- Support distributed training and serving
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Amazon RDS | Aurora | Azure AI | Cloud Spanner | Cosmos DB | Data parallelism | DeepSpeed | Distributed Training | Docker | DynamoDB | Experiment tracking | Fine Tuning | Flowise | GPU Architecture | Google BigQuery | Hugging Face | Hugging Face Transformers | Keras | Kubernetes | LLM orchestration | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Deployment | Model Fine-tuning | Model Optimization | Model Parallelism | MongoDB | MySQL | PostgreSQL | PyTorch | Python | SQL | SageMaker | TensorFlow | VLLM | Vertex AI
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