IN-Senior Associate _AI Engineer__ D&A_ Advisory_ Bangalore
INR 1200K-2000K (estimate) Mid-level Full Time
Tasks
- Build model inference APIs at scale
- Deploy LLM serving on GPU infrastructure
- Design ML pipelines for experiment management
- Fine-tune and optimize models
- Implement DevOps and LLMOps practices
- Implement distributed training and serving
- Manage Docker containers
- Manage ML models and features
- Optimize training and resource usage
- Orchestrate containers with Kubernetes
- Reduce latency and improve accuracy
- Retrain models
- Use Azure AI for model deployment
- Use Hugging Face models for LLM development
- Use LLM orchestration frameworks
- Use MLflow for model management
- Use SageMaker for training and deployment
- Use Vertex AI for model deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure | Azure AI | CI/CD | Cloud Spanner | Cloud platform | Cosmos DB | DeepSpeed | Docker | Flowise | Fluentd | Google BigQuery | Google Cloud | Google Cloud Platform | Google Cloud Spanner | Google Cloud Vertex | Google Cloud Vertex AI | Grafana | Hugging Face | Hugging Face Transformers | JavaScript | Kibana | Kubernetes | LLM | LangFlow | Langchain | Langfuse | Langgraph | Llamaindex | MLflow | Machine Learning | MongoDB | MySQL | PostgreSQL | Prometheus | Python | SQL | VLLM | Vertex AI
Education
Bachelor of Computer Applications | Bachelor of Technology | Master of Business Administration | Master of Computer Applications | Master of Technology
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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