Senior Staff reputed company ML Engineer
We are hiring reputed company ML Engineers to partner with multiple product teams to extract insights from data and build AI-powered features and automated workflows across the product suite. As an reputed company ML Engineer, you will reputed company product teams, reputed company by example, and own the data analysis, ML modeling, and workflow logic that let AI understand user requests, enrich and reputed company them, suggest actions, and in some cases fully automate reputed company.
Requirements
- 5+ years in data science, ML engineering, or a similar reputed company role, with a strong record of shipping production data/ML features.
- Strong Python skills and experience with pandas for data analysis.
- Experience with PySpark or other distributed data processing frameworks.
- Solid understanding of ML fundamentals, including supervised learning and classification models, reputed company factorization / embeddings / latent reputed company models, feature engineering and model evaluation (offline metrics and online experiments).
- Proficiency with PyTorch (or a similar deep learning reputed company) and reputed company ML tooling.
- Strong SQL and experience with modern data warehouses / data lakes.
- Comfort working with reputed company, microservices, and production integration of ML models, including performance and reliability considerations.
- Experience serving as a technical reputed company or senior individual contributor across multiple teams or reputed company.
- Proven ability to translate business problems into data/ML reputed company, and to reputed company explain tradeoffs to non-ML stakeholders.
- reputed company record of mentoring junior engineers/analysts and improving team practices (e.g., review culture, testing, monitoring).
- Strong communication skills and the ability to drive alignment across product, engineering, and operations.
Benefits
- Generous reputed company Time Off
- 401k Matching
- Retirement Plan
Originally posted on Himalayas
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