drjobs Senior Machine Learning Engineer

Senior Machine Learning Engineer

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1 Vacancy
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Job Location drjobs

Paris - France

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About the team

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






Required Experience:

Senior IC

Employment Type

Full-Time

Department / Functional Area

Engineering

About Company

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