Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
About the role
- ML Engineer joining the Data Science team at Veepee, focusing on real-time recommendation models. Collaborating with teams across various locations to enhance e-commerce personalization.
Responsibilities
- As an ML Engineer, you’ll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels.
- The team focuses on implementing, maintaining, and continuously improving our recommender systems.
- You will bridge Data Science and Engineering to build, deploy, and maintain real-time recommendation models at scale.
- You’ll design robust model-serving architectures and ensure reliable, low-latency predictions for millions of users.
Requirements
- At least 5 years of experience in software or ML engineering.
- Strong programming skills in Java and Python; solid understanding of SQL.
- Scala knowledge is a plus.
- Experience with MLOps tools (MLflow, Kubeflow, Airflow, or similar).
- Familiarity with streaming or batch frameworks (Beam, Flink, Spark, Kafka).
- Cloud experience (GCP, AWS, or Azure) and container orchestration (Kubernetes).
- Excellent written and spoken English communication.
Benefits
- Be part of a dynamic and international team!
- Flexible schedule
- Team buildings & afterworks
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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