
Chief Data Infrastructure Specialist
2 semanas atrás
We're seeking a skilled professional to develop and enhance data and analytics infrastructure. This role provides the opportunity to collaborate with a dynamic team and talented individuals in the field of big data analytics.
The ideal candidate will have expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and experience working with PyTorch.
- Design, train and validate supervised and unsupervised models (e.g. anomaly detection, classification, forecasting)
- Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch
- Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)
Technical Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science or related field
- 5+ years of professional experience with Python in production environments
- Solid background in machine learning & deep learning (CNNs, Transformers)
- Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization)
- Proven track record deploying ML solutions
- Expert in pandas, NumPy and scikit-learn
- Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence)
- Strong foundation in statistics and experimental design
Our company offers a comprehensive benefits package, including paid time off, U.S. Holidays, training, Udemy free Premium access, mentored career development, free English Courses, profit sharing, and remuneration.
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