IN-Senior Associate _AI Engineer__ D&A_ Advisory_ Bangalore
Bengaluru Millenia, India
INR 1200K-2000K (estimate) Mid-level Full Time
Tasks
- Build data pipelines
- Build model inference APIs
- Containerize services with Docker
- Create feature management workflows
- Deploy large language model serving systems
- Deploy using Kubernetes
- Design machine learning pipelines
- Fine-tune and optimize models
- Implement DevOps and LLMOps practices
- Improve model latency and accuracy
- Integrate with MLflow
- Integrate with data warehouses
- Manage ML experiments
- Manage machine learning models
- Orchestrate LLM workflows
- Perform distributed training
- Reduce training and resource costs
- Retrain models
- Serve Hugging Face models
- Support analytics with dashboards
- Use AWS Bedrock for model access
- Use Azure AI services
- Use Flowise for LLM orchestration
- Use LangChain for LLM orchestration
- Use LangFlow for LLM orchestration
- Use LangGraph for LLM orchestration
- Use LlamaIndex for retrieval pipelines
- Use Vertex AI for training and deployment
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Professional Solution Architect | Amazon DynamoDB | Amazon SageMaker | Azure AI | Azure Cosmos | Azure Cosmos DB | Azure RDS | Azure Solutions Architect | Azure Solutions Architect Expert | Azure solutions | Container Orchestration | Cosmos DB | Data parallelism | DeepSpeed | Docker | Flowise | GPU Architecture | Google BigQuery | Hugging Face | JSON | JavaScript | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Parallelism | MongoDB | MySQL | PostgreSQL | Python | SQL | Solution Architect | VLLM | Vertex AI
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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