обновлено 3 часа назад
Machine Learning and Data Science Specialist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning and Data Science Specialist (AI): Owning and evolving machine learning algorithms and MLOps pipelines for campaign segmentation and targeting across millions of data points with an accent on model performance, reliability, and direct business impact. Focus on optimizing production models, designing new ML features, monitoring systems at scale, and building explainable end-to-end model lifecycles.
Location: 100% remote with flexible working hours.
Company
supports WinDifferent's data-driven marketing platform and helps build talent for growing technology opportunities.
What you will do
- Own the machine learning algorithms powering campaign segmentation and targeting.
- Optimize existing models to improve accuracy and performance across millions of data points.
- Design and implement new machine learning features and pipelines.
- Supervise and monitor machine learning performance at scale.
- Define ML requirements and collaborate with engineering and product teams.
- Manage administrative and organizational activities related to ML initiatives.
Requirements
- 5+ years of machine learning experience, including at least 4 years building end-to-end model development lifecycles.
- Strong proficiency in Python and SQL, with knowledge of data and machine learning frameworks.
- Solid foundations in probability and statistics.
- Experience with model training, registration, deployment, monitoring, and MLOps.
- Strong stakeholder management, business orientation, and ownership of production ML systems.
- Postgraduate degree in Machine Learning or Data Science.
Nice to have
- Experience with Databricks.
- Experience implementing machine learning explainability pipelines.
- Experience with orchestration tools such as Airflow.
- Experience applying machine learning to marketing use cases.
Culture & Benefits
- 100% remote work with a work-from-home hardware setup.
- Flexible hours and self-managed scheduling.
- PTO, parental leave, and other special leaves.
- English classes and access to Udemy for Business, subject to manager approval.
- Personal loans with 0% interest according to company policies.
- Innovation-driven, diverse, and multicultural work environment with opportunities for professional growth.
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