Senior Machine Learning Engineer

Equativ; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading independent ad platform in Paris seeks a Machine Learning Engineer to design scalable ML pipelines. Ideal candidates have 5+ years of experience, proficiency in TensorFlow and Docker, and are skilled in Python. You'll work in a dynamic environment addressing various ML challenges, supported by cutting-edge technology and a talented team.

Qualifications

• 5 years of experience in machine learning engineering with at least 2 years in a senior/staff role.
• Hands-on experience with Vertex AI covering end-to-end design and deployment of ML pipelines.
• Proficiency in machine learning frameworks and scientific libraries.

Responsabilités

• Build robust, scalable model-serving infrastructure for real-time decision making.
• Define ML best practices and lead technical discussions.
• Manage and prioritize tasks ensuring timely delivery in a high-impact environment.

Connaissances

Vertex AI

TensorFlow

Docker

Python

Cloud infrastructure (GCP / AWS)

Data visualization

Outils

BigQuery

ClickHouse

Keras

PyTorch

Description du poste

About the team

At Equativ we are on a mission to develop advertising technologies that empower our customers to reach their digital business goals. This means that we rely on massively scalable, widely distributed, highly available and efficient software systems; the platform deals with over 3 million requests per second (250 billion / day) managed by 3000 servers with less than 250 ms response time.

Our innovation team based in Paris, Nantes, Bordeaux, Limoges, Krakow and Berlin is composed of 150 straightforward and energetic engineers working in an Agile environment and ready to tackle the most complex technical challenges.

Your mission

You will join our Paris-based Data Science team where you’ll be responsible for designing robust machine learning pipelines and supporting functions that make our products smarter. We leverage Google Dataflow, Vertex AI and TensorFlow to power models that generate millions of predictions per second each processed in under 2 milliseconds.

You will have the opportunity to tackle a wide range of machine learning challenges in a high QPS serving environment including classification, regression, time series, neural networks, NLP and reinforcement learning. You’ll work with massive datasets and see the real‑world impact of your solutions every day.

What you’ll do

• Build robust, scalable model‑serving infrastructure for real‑time decision making as well as research and A/B testing.
• Proven experience with Vertex AI, including the design and implementation of ML pipelines on GCP.
• Define ML best practices and lead technical discussions and influence roadmap priorities.
• Partner with core engineering teams to translate business objectives into ML solutions.
• Manage and prioritize tasks while ensuring timely delivery in a high‑impact environment.
• Proactively identify failure modes and implement automated testing and rollback strategies.

About you

5 years of experience in machine learning engineering with at least 2 years in senior / staff level role.

Minimum qualifications

• Hands‑on experience with Vertex AI covering the end‑to‑end design and deployment of ML pipelines on GCP.
• Proficiency in machine learning frameworks (like TensorFlow/Keras or PyTorch) and scientific libraries (like scikit‑learn).
• Strong proficiency in Docker, including containerizing ML applications and deploying them in production environments.
• Great programmer with strong coding skills in Python.
• Experience in an object‑oriented language like C#, Java or Scala.
• Experience with cloud infrastructure (GCP / AWS) and distributed data systems (BigQuery and ClickHouse).
• Experience troubleshooting and resolving incidents in a fast‑paced, high‑pressure environment.
• Strong awareness in production and industrialisation.

Nice to have

• Experience in AdTech.
• Experience in building GenAI prototypes and applications.
• Good understanding of general data‑science algorithms and machine learning.
• Good knowledge of math, probability and statistics.
• Working proficiency and communication skills in English.
• Participation in data science competitions like Kaggle.
• Passion for playing with large volume of data.
• You like data visualization and frontend development.
• DevOps spirit.

About us

Equativ, a leading independent ad platform, brings scale and simplicity to digital advertising. Following its recent merger with Sharethrough and the acquisition of Kamino, advertisers, media owners and technology partners rely on Equativ’s advanced SSP curation and retail media services and technology to achieve maximum business outcomes.

With a focus on privacy‑first programmatic video, CTV and data‑driven solutions, Equativ enables clients to activate across the digital ecosystem while protecting consumer privacy.

The company’s global expertise is backed by a team of over 750 employees across 19 countries.

Equal opportunity

Equativ is an equal‑opportunity employer. Equal access to employment services and programs are available to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. If you require reasonable accommodation throughout the application and/or interview process, please contact the recruitment team at emailprotected.

Employment type

Full‑time