IN_Manager_GEN AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Build APIs for model inference
- Deploy models using Kubernetes and Docker
- Design machine learning pipelines
- Fine-tune and optimize large language models
- Implement DevOps and MLOps practices
- Manage machine learning models and features
- Optimize model latency and accuracy
- Perform distributed training and serving
- Prepare datasets for machine learning
- Reduce training and resource requirements
- Retrain models and manage experiments
- Serve large language models
- Set up GPU training and inference workflows
- Use data warehouses for analytics
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Amazon Aurora | Amazon Bedrock | Amazon SageMaker | Azure | Azure AI | Azure Cosmos | Azure Cosmos DB | Cosmos DB | Data Modeling | DeepSpeed | Distributed Training | Docker | DynamoDB | Flowise | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Hugging Face | JavaScript | Keras | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | MongoDB | MySQL | PostgreSQL | PyTorch | Python | RDS | SQL | Spanner | TensorFlow | Transformers | VLLM | Vertex AI
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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