Associate Principal Engineer, Machine Learning
Tasks
- Architect production ready machine learning systems
- Build NLP computer vision and generative AI solutions
- Define AI ML architecture standards security and performance
- Design and deploy AI agents and multi agent systems
- Design end-to-end machine learning solutions
- Develop and review architecture and design documentation
- Ensure responsible AI model governance and ethical AI
- Implement MLOps pipelines
- Lead data pipeline model training deployment and monitoring design
- Lead proof of concept initiatives
- Perform root cause analysis for complex system issues
- Select machine learning approaches tools and frameworks
Perks/Benefits
Skills/Tech-stack
AI Agents | Agent systems | Artificial Intelligence | Computer Vision | Deep learning | Docker | Generative AI | JAX | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | NLP | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | Statistical modeling | TensorFlow
Education
N/A
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