The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience.
They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models.
Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment.
Role:
Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions.
Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics.
Deploy models in production, ensuring scalability and reliability with the engineering teams.
Monitor and optimize models, proactively addressing performance issues.
Stay updated on the latest ML research and technologies to enhance model effectiveness.
Document processes and share insights to promote team collaboration and knowledge sharing.
Requirements:
You need to have a MSc or PhD level in Stem subject.
You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.
DevOps experience in CI/CD.
Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.
Experience using Python is a must (tools like AWS and Spark are beneficial)
Excellent communication skills and team and colleague engagement.
A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems
Salary and Benefits
$170,000 - $200,000 base salary
Bonus
How to Apply
Please register your interest by sending your CV via the Apply link on this page.