Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform
Tasks
- Architect agentic AI
- Build hybrid search systems
- Build recommender systems for agents
- Collaborate cross functionally with PMs and engineers
- Define ML roadmaps and proposals
- Deploy production machine learning services
- Develop meta learning and optimization algorithms
- Engineer vector search and reasoning workflows
- Implement text to SQL and text to Python semantic parsing
- Monitor safety and failure attribution
- Own end to end MLOps lifecycle
- Run A B testing for ML models
- Scale evaluation and observability pipelines
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Deep learning | DeepEval | Docker | Dspy | Evaluation Frameworks | Fine Tuning | GCP | Graph Neural Networks | Imitation Learning | Information Retrieval | Knowledge graphs | Kubeflow | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Fine-tuning | Multi-Modal | Multi-modal Models | Natural Language | Natural Language Processing | Neural Networks | PEFT | PySpark | PyTorch | Python | RAG | Ragas | Recommender Systems | Reinforcement Learning | SQL | TensorFlow | Text-to-SQL | Vector Search
Education
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