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Senior Data Developer (Machine Learning)
Мэтч & Сопровод
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Текст:
TL;DR
Senior Data Developer (Machine Learning): Enhancing and scaling data pipelines for cutting-edge Deep Learning models that drive
's AdTech platform. Focus on developing and optimizing solutions, collaborating with machine learning engineers and data scientists, and ensuring adherence to data privacy and compliance standards.Location: This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Company
is the leading platform to create and grow games and interactive experiences.
What you will do
- Design, implement, and continuously improve robust and scalable data pipelines for machine learning, with a particular emphasis on supporting advanced Deep Learning models.
- Collaborate closely with machine learning engineers, data scientists, and other cross-functional teams to understand business requirements and translate them into effective data solutions, models, and algorithms.
- Manage the full lifecycle of large-scale data sets, including collection, storage, processing, and optimization for machine learning applications.
- Develop and maintain a reliable data infrastructure capable of supporting both real-time and batch data processing.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Minimum of 5 years of experience in data engineering, with a significant focus on building systems and pipelines for machine learning models, preferably in the AdTech industry.
- Proficient in programming languages such as Python, Scala, or Java.
- Solid experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS).
- Strong knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch), and practical experience with the deployment of ML models at scale.
- This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Culture & Benefits
- is a proud equal opport employer committed to fostering an inclusive, innovative environment.
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