IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Build APIs for model inferencing at scale
- Build LLM orchestration workflows
- Deploy and orchestrate containers on Kubernetes
- Design ML pipelines for experimentation and model management
- Implement distributed training and serving
- Integrate MLflow for model lifecycle management
- Manage model retraining and feature management
- Optimize latency and accuracy for LLMs
- Perform model fine-tuning and optimization
- Reduce training and resource requirements for fine tuning
- Serve large language models using GPU architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Amazon Aurora | Amazon RDS | Amazon SageMaker | Amazon Web Services | Azure | Azure AI | Azure OpenAI | Azure OpenAI Service | Cloud platform | Container Orchestration | Cosmos DB | Data parallelism | DeepSpeed | DevOps | Distributed Training | Docker | DynamoDB | Fine Tuning | Flowise | GPU Architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Google Spanner | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Keras | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Microsoft Azure | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | OpenAI Service | Optimization | PostgreSQL | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI | Web Services
Education
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