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python kubernetes tensorflow pytorch airflow📋 Description
- Work with large-scale data and ML models.
- Collaborate with engineers, PMs, ops, and data scientists; prioritize ML needs.
- Hands-on develop, productionize, and operate ML/AI models and pipelines at scale.
- Leverage third-party and in-house ML tools to accelerate development.
- Projects include feature platform, model interpretability, drift detection.
🎯 Requirements
- 12+ years in applied ML/AI; MS or PhD in relevant fields.
- Strong programming: Scala, Python, Java, or C++.
- Deep ML/AI best practices; NLP, CV, personalization, search.
- Experience with 3+ of: TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, Hive.
- End-to-end ML/AI infra experience and productionizing models.
- Familiar with test-driven development, A/B testing, and deployment.
🎁 Benefits
- Remote work eligible in US; some office/offsite as agreed.
- Bonus, equity, benefits, and Employee Travel Credits.
- Disability inclusion program and reasonable accommodations available.
- Work with cutting-edge AI infrastructure on a global platform.
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