IN_Specialist 3_AI Engineer _Data and Analytics_Advisory_Bangalore
INR 2000K-4000K (estimate) Senior-level Full Time
Tasks
- Automate model training and retraining
- Deploy models using LLMOps
- Design ML pipelines for experiment management
- Design ML pipelines for feature management
- Design ML pipelines for model management
- Design ML pipelines for model retraining
- Develop model inferencing APIs
- Implement CI/CD for ML workflows
- Implement LLM orchestration
- Improve model latency and accuracy
- Manage containers with Kubernetes
- Optimize fine tuning for LLMs and LVMs
- Perform distributed serving for large language models
- Perform distributed training for large language models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure AI | Azure Cosmos | Azure Cosmos DB | Azure SQL | Cloud Spanner | Container Orchestration | Cosmos DB | Data parallelism | Deep learning | DeepSpeed | DevOps | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Cloud | Google Cloud Spanner | Grafana | Hugging Face | Hugging Face Transformers | JavaScript | Keras | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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