Data engineer for machine learning

Adikteev; United States; Remote; USD 90,000 - 101,000; Full time

Benefits offered by this job

Healthcare plan with excellent covera

Flexible remote working policy

Lunch vouchers

Longevity bonus every 2 years

Team-life events

Mental Health support

4 1/2 days work week

Parental leave policy

Job summary

Adikteev ищет старшего инженера по данным, который возьмет на себя владение его ML-платформой и архитектуру инфраструктуры. Вы будете проектировать, разворачивать и улучшать предиктивные модели, обеспечивая масштабируемость и высокую производительность систем Adikteev.

Требуется опыт работы с Spark, Airflow, Python/Java, и понимание MLOps. Гибкая удаленная работа, конкурентная зарплата и пакет вознаграждений.

Qualifications

• Опыт Data Engineer с фокусом на MLOps и продакшн-задачи (низкая задержка, высокая пропускная способность).
• Опыт работы с Apache Spark и Airflow для оркестрации DAG.
• Умение превращать исходные данные в качественные фичи для ML.

Responsibilities

• Проектировать, масштабировать и поддерживать инфраструктуру данных для real-time и пакетных ML рабочих потоков.
• Обеспечивать доступность данных: обработку, хранение, агрегацию и API-разработку.
• Интегрировать тестирование, мониторинг, оповещения и восстановление после сбоев.
• Разрабатывать центр признаков (feature store) и пайплайны feature engineering.
• Строить масштабируемые пайплайны с Apache Airflow и Apache Spark и оптимизировать стоимость.
• Вносить инновации, исследовать идеи из академических работ и переводить их в продакшн.
• Использовать инструменты AI-кодинга для ускорения разработки и поддерживать качество данных.

Skills

Apache Spark

Airflow

Python

Java/Scala

MLOps

Tools

AWS

Kubernetes

Kafka

Job description

Описание:

Adikteev is an AdTech company that helps mobile app publishers grow their revenue through targeted advertising. We deliver personalized ads that drive users to install an app or re-engage with one they've stopped using. We are looking for a Senior Data Engineer to take ownership of our ML Platform. You will help design, deploy, and evolve predictive models that power Adikteev's core adtech systems and you will be the architect of the infrastructure that enables our ML models to scale, perform, and deliver value at high velocity.

Задачи:

Architect, scale, and maintain our data infrastructure, ensuring it meets the rigorous demands of real-time and batch ML workflows. Make sure data is always available: oversee processing, storage, aggregation, and API development. Streamline our data processes by integrating efficient testing, monitoring, alerting, and error recovery. Design and implement our feature store to centralize feature discovery, storage, and serving and build robust feature engineering pipelines. 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. Leverage AI coding tools (Copilot, Cursor, etc.) to accelerate development cycles and stay at the forefront of engineering productivity. Drive best practices for data quality, CI/CD for data, and technical documentation. Mentor peers and identify infrastructure bottlenecks before they impact the business.

Требования:

Proven track record as a Data Engineer, ideally with a focus on MLOps and production-related challenges (latency, throughput, server cost optimization...). Hands-on expertise with Apache Spark (tuning, scaling), Airflow (complex DAG orchestration). Solid understanding of how to transform raw data into high-quality features for machine learning. A "Product Owner" mentality for data, you don't just ship code; you own the reliability and scalability of the systems you build. Fluent in English and the ability to articulate complex architectural choices to both technical and non-technical stakeholders. Applicants are required to maintain residency and be legally authorized to work in the European Union in order to be considered for this position.

Будет плюсом:

• Kafka streaming and Kubernetes are a plus
• Our stack runs on AWS so a good knowledge of this platform is also a plus
• Hands-on experience with Python and Java/Scala is a plus
• Experience with tabular data for classification problems and deep learning is a plus
• Experience building or maintaining feature stores
• Notions of French can be a plus

Условия:

Competitive Salary between 80,000 and 90,000€ OTE The salary range shown reflects total On-Target Earnings (OTE), including base salary and a performance-based Quarterly bonus with transparent KPIs.

• 4 1/2 days work week (Fridays afternoon off)
• Longevity bonus every 2 years
• Healthcare plan with excellent coverage
• Lunch Vouchers
• Mental Health support
• Flexible remote working policy
• Regular team-life event / activity
• Inclusive parental leave Policy