Data Architect
Bangalore, India
R
INR 3584K-5876K (estimate) Senior-level Full Time
Tasks
- Adopt evolving AI technologies
- Apply DevOps and MLOps practices
- Apply model and data parallel training
- Build scalable AI platforms
- Conduct fail fast experimentation
- Deliver end to end solutions to production
- Deploy and orchestrate services on Kubernetes
- Design machine learning pipelines
- Design model inference APIs
- Evangelize platform with customers and stakeholders
- Fine-tune machine learning models
- Implement model AB testing
- Lead cross functional engineering discussions
- Manage experiments
- Manage features
- Manage model artifacts
- Optimize model latency and accuracy
- Orchestrate LLM workflows with Flowise
- Orchestrate LLM workflows with LangGraph
- Orchestrate LLM workflows with Langflow
- Perform distributed training and serving
- Present AI strategies to executives
- Reduce training and resource requirements
- Serve as LLM serving SME
- Track emerging AI research and patterns
- Translate research into production improvements
- Use docker for containerization
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | Amazon SageMaker | Azure AI | B testing | Container Orchestration | Data parallelism | Deep learning | DeepSpeed | Distributed Training | Docker | Experiment Management | Feature Engineering | Flowise | GPU Architecture | Kubernetes | LLM optimization | LLMOps | LangFlow | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Management | Model Parallelism | Model retraining | Python | VLLM | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Architect | Data Architect | Engineer | Learning Engineer | Machine Learning Engineer
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