обновлено 3 месяца назад
Staff Machine Learning Engineer (AdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (AdTech): Building and scaling production-grade machine learning systems for audio entertainment platforms with an accent on model deployment, feature engineering, and MLOps. Focus on designing robust CI/CD pipelines, ensuring model reliability, and optimizing performance within a cloud-native environment.
Location: Must be based in Dublin, Ireland (Hybrid)
Company
A leading audio entertainment company encompassing music, sports, comedy, news, and podcasting, currently expanding its global technology hub in Dublin.
What you will do
- Lead the deployment of ML models into production using Databricks and MLFlow.
- Design and maintain CI/CD pipelines for automated build, test, and deployment of ML artifacts.
- Build and maintain reliable feature serving systems to ensure consistency between training and inference.
- Implement logging, monitoring, and alerting to ensure production models meet performance requirements.
- Collaborate with data scientists and platform engineers to productionize models and manage their lifecycle.
- Spearhead the adoption of industry best practices in ML engineering, data governance, and resource optimization.
Requirements
- Must be based in or able to work from Dublin, Ireland.
- 7+ years of experience in ML Engineering, MLOps, or data engineering.
- 4+ years of experience with Databricks and MLFlow.
- Proficiency in Python, Scala, or Java.
- Strong experience with cloud platforms (AWS/Azure) and containerization (Docker/Kubernetes).
- Familiarity with infrastructure-as-code tools like Terraform or CDK.
Culture & Benefits
- Opportunity to work in a new state-of-the-art technology facility.
- Role within a center of excellence for a global product and technology organization.
- Focus on professional growth and industry-leading audio technology.
- Commitment to a work environment fostering mutual respect and cooperation.
- Equal opportunity employer with a diverse and inclusive culture.
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