Senior Staff Machine Learning Engineer, Infrastructure
Tasks
- Build machine learning models at scale
- Collaborate with cross functional partners on model requirements
- Define ML data asset management best practices
- Detect concept drift
- Develop interpretable and high performing ML systems
- Develop real-time and batch ML solutions
- Ensure regulatory compliance for ML data
- Implement ML data foundations for AI ML use cases
- Optimize feature platforms and model serving
- Perform hyperparameter optimization
- Productionize and operate ML AI pipelines
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Agentic AI | Apache Airflow | Apache Kafka | Apache Spark | Artificial Intelligence | B testing | C++ | CLIP | Chatbots | Computer Vision | Concept drift | Concept drift detection | Data Governance | Data Warehousing | Deep learning | Drift Detection | Feature Engineering | Feature Selection | Hive | Hyperparameter Tuning | Java | Kubernetes | Language Models | Language Processing | Large Language Models | Llama | Machine Learning | Model Interpretability | Natural Language | Natural Language Processing | Neural Networks | Optimization | PyTorch | Python | Qwen | Regulatory Compliance | Retrieval-Augmented Generation | Scala | TensorFlow | Test-Driven | Test-Driven Development
Education
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