Kameleoon

Kameleoon

Senior Machine Learning Engineer

  • CDI 
  • Début :  
  • Paris
  • Télétravail partiel possible
  • Bac +5 / Master
  • > 5 ans

La tribu

Kameleoon

Kameleoon

    Le poste

    Senior Machine Learning Engineer

    • CDI 
    • Début :  
    • Paris
    • Télétravail partiel possible
    • Bac +5 / Master
    • > 5 ans

    Cette offre a été pourvue !

    À propos

    Kameleoon enables brands to offer exceptional digital experiences and personalize the customer journey to maximize engagement and conversion, driving exponential online revenue growth.

    Its web and full stack experimentation and personalization platform measures visitors’ purchasing intention in real-time and adapts messages, content, navigation and offers on all channels. With features including A/B testing, manual user segmentation, AI predictive targeting, customer behavior tracking and real-time data, Kameleoon delivers an improved experience for each and every visitor.

    Over 450 major companies worldwide rely on Kameleoon, making it the top SaaS platform for AI-driven experimentation and personalization. These include leaders in ecommerce and retail, media, travel, automotive, financial services and health.

    Kameleoon is achieving annual three figure growth in both customers and revenues: « Champion de la croissance » on Les Echos classement 2021.

    Descriptif du poste

    As part of the strengthening of the R&D, we are looking for a Senior Machine Learning Engineer. Under the direction of the Head of Machine Learning, he/she will be performing the following tasks:

    • Lead the development of our new Machine Learning platform in Kubernetes:

      • TFX training pipeline using Kubeflow
      • Web Service for inference and pipeline management
    • Coach the junior Data Engineers, ML Engineers and Data Scientists to improve their coding, architectural and design skills.
    • Deploy Machine Learning models for our clients’ use-cases.
    • (Depending on the candidate willingness) Help steering the Machine Learning product/service.

    Profil recherché

    Graduated from an Engineering School (Grande Ecole d’Ingénieur) or from a STEM course from a top-tier University (bac+5 / Master), you have at least 5 years of experience on similar functions. Finally, you share our values - Honesty, Team Spirit, Excellence, Proactivity and Grit. You also possess the following skills:

    Mandatory:

    • Production-level knowledge of Python (typechecks, tests, lints, package management, web servers, data serialization and machine learning open-source libraries, etc.).
    • Good knowledge of Docker.
    • Previous experience managing web services (REST APIs and SQL databases).
    • Good grasp of Machine Learning basics: training vs. testing vs. prediction, models in production, overfitting, hyperparameter tuning, etc.
    • Good grasp of computer science basics: I/O, memory, processes/threads, networking, etc.
    • You are rigorous, autonomous and proactive.

    Very nice-to-have:

    • Good knowledge of distributed processing engines such as Spark or Flink (or runtimes such as Apache Beam).
    • Good knowledge of distributed filesystems such as HDFS.
    • Kubernetes knowledge.
    • Monitoring and logging tools knowledge (such as Prometheus, Loki, Grafana).
    • Tensorflow knowledge.
    • TFX and Apache Beam knowledge.
    • Kubeflow knowledge.

    Déroulement des entretiens

    If you profile matches, we will contact you for a first round of interviews to validate the alignment between your skills and mindset and our offer.

    We have the following steps of interview:

    • 1h Phone interview to check background and past experiences, motivation and explain the job in detail.
    • 1h30 Technical interview with a Data Scientist and a Data Architect.
    • 1h Interview with the Head of Machine Learning.
    • (possible) Interview with company CTO.

    Découvrez l'équipe

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