Senior Machine Learning/​Data Engineer - Remote Opportunity

About the Role

We are looking for a Senior Machine Learning / Data Engineer to join our team. This Senior Machine Learning/Data Engineer remote role can be based in Paris or Barcelona on a hybrid schedule, or fully remote from anywhere else within the European Union. Join us at Adikteev, where we fuel the app ecosystem by inspiring users to engage with the apps they know and love.

What You'll Do

• Take ownership of our ML Platform, designing, deploying, and evolving predictive models that power Adikteev’s core adtech systems.
• Architect the infrastructure that enables our ML models to scale, perform, and deliver value at high velocity.
• Join a high-performing team dedicated to delivering efficient, scalable, and impactful machine learning systems.
• Build and maintain ML models focused on maximizing return-on-investment for every ad impression while meeting production constraints.
• Design and implement our feature store to centralize feature discovery, storage, and serving.
• Build and optimize highly scalable pipelines using Apache Airflow and Apache Spark, focusing on high reliability and cost-efficiency.
• Contribute to innovation efforts by exploring promising ideas from recent academic work and turning them into production-grade solutions.
• Drive best practices for data quality, CI/CD for data, and technical documentation.

Requirements

• Proven track record as a machine learning Engineer, ideally with a focus on data engineering, MLOps, and production-related challenges.
• Hands-on expertise with Apache Spark (tuning, scaling) and Airflow (complex DAG orchestration).
• Strong proficiency in Python or Scala/Java, embracing AI tools to enhance coding efficiency.
• Experience with tabular data for classification and regression problems, and a solid understanding of feature engineering.
• Fluent in English with the ability to articulate complex architectural choices to both technical and non-technical stakeholders.

Nice to Have

• Experience with Kafka streaming and Kubernetes.
• Knowledge of AWS platform.
• Basic notions of French.

What We Offer

• Competitive salary with a performance-based quarterly bonus.
• 4 1/2 days work week (Fridays afternoon off).
• Profit-sharing scheme and longevity bonus every 2 years.
• Healthcare plan with excellent coverage.
• Flexible remote working policy and regular team-life events.

Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals. Join us as a Senior Machine Learning/Data Engineer remote role and be part of a team that influences billions of real-time decisions daily.