Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform
Tasks
- Architect agentic AI systems
- Build hybrid semantic search systems
- Define ML strategy and roadmaps
- Deploy ML models to production
- Develop meta machine learning optimization
- Engineer vector search and semantic parsing
- Implement MLOps end to end lifecycle
- Optimize prompts and model configurations
- Run A B testing for ML systems
- Scale evaluation and observability pipelines
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Data Processing | Deep learning | DeepEval | Docker | Dspy | Fine Tuning | GCP | Graph Neural Networks | Imitation Learning | Information Retrieval | Knowledge graphs | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multi-Modal | Multi-modal Models | Natural Language | Natural Language Processing | Neural Networks | PEFT | PySpark | PyTorch | Python | Ragas | Recommender Systems | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Semantic Parsing | TensorFlow | Text-to-Python | Text-to-SQL | Vector Search
Education
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