At Equativ were 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 250ms 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 youll 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 seconds 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. Youll work with massive datasets and see the real-world impact of your solutions every day.
What youll 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 under 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 system (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 verbal and written 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 itsrecent merger with Sharethroughand the acquisition ofKamino Retail advertisers media owners and technology partners rely on Equativs 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 companys global expertise is also backed by a team of over 750 employees across 19 countries.
As a proud recipient of the label Equativ is committed to providing a dynamic flexible workplace where employees thrive grow and excel in both their professional and personal lives.
Come and lead the charge with us inbuilding a transparent ecosystem based on quality!
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
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