NB) Ipsos

CDI

Paris

Télétravail fréquent

Salaire : non spécifié

il y a environ 2 ans

Votre nouvelle entreprise

1000 collaborateurs

Stratégia

Big Data

Marketing / Komunikácia

Âge moyen : 41

Créée en 1975

36%

64%

Chiffre d'affaires : 2 524,7 M€

Turnover : 13

Ipsos bva est le leader en France des études de marché et des enquêtes d’opinion. Groupe français indépendant, fondé en 1975, Ipsos bva opère aujourd’hui dans 90 pays et donne aux entreprises et aux institutions pour lesquelles il travaille, les clés de compréhension de la société, des marchés, des citoyens et des consommateurs.

Une mission qui s’appuie sur la disruption numérique, l’extension des domaines d’observations et l’innovation continue pour améliorer la finesse des analyses.

Intégrer Ipsos bva aujourd’hui c’est :

Choisir un métier passionnant au cœur des enjeux d’actualités et des transformations de la société.
Bénéficier d’une multiplicité d’opportunités d’apprentissage dans des secteurs différents : le marketing, la publicité, les médias, la politique, le CRM, qui intègrent les dernières innovations digitales et technologiques.
Se voir confier des responsabilités immédiatement sur des études avec de véritables perspectives d’évolutions professionnelles.
Evoluer au sein d’un groupe international dans lequel les opportunités de mobilité sont une réalité.

Vos missions au quotidien

Key Responsibilities:

Develop and implement machine learning models using state-of-the-art algorithms in areas such as NLP, computer vision, and generative AI.
Improve existing machine learning systems, e.g. automated sentiment & emotion analysis, named entity recognition, logo detection, scene recognition, topic modeling, etc.
Perform statistical analysis and tune using test results.
Extend the MLOps pipelines to improve data and model delivery speed and quality
Keep abreast of developments in the field.
Collaborate with the rest of the team during team sync meetings
Write documentation and review merge requests

Ce que l’on cherche

Technical skills

Proven experience as a Machine Learning Engineer or similar role especially in NLP
Strong background in computer science and software engineering: data structures, algorithms, object-oriented programming, code writing, and reviewing. Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning, transformers, …), probability and statistics.
Analytical and problem-solving skills
Good written and oral communication skills.
Ability to work in a team.

Soft Skills

Rigor and strong appetite for software quality
Interested in manipulating dozens of microservices in data processing pipelines handling billions of documents
Passion to discuss and explain technical choices
Can-do attitude
Good communicator, self-starter, and collaborative enthusiast
Interested in understanding user needs
Independent, self-organizing, and able to prioritize multiple complex assignments
Interested in multicultural companies
Professional in English and fluent in French. This includes writing, speaking, and reading
Benefits
- Real Big Data experience with more than 70 million documents ingested every day, and a total of around 100 billion unique documents in storage
- Flat organization and strong culture
- Partial remote possible (up to 2 days per week). Gentilly-based office.
- International and diverse environment (US, EMEA, APAC)
- Staff canteen
- Complementary health insurance
- 10 RTT per year
- Synthesio allows employees to take time during their working hours for leisure (we had groups around Sport sessions together; Board games with the team; Free time …). As long as work is done, you can organize your time as you want.
- Many team events are organized at the initiative of the team (Just to say people get along and there is a good ambiance)
  Our Values
- Win As One Team: We are nothing without each other. We support each other, celebrate team spirit, and always move together. Be open minded, humble and a team player
- Ownership: Each team defines its own schedule of deliveries and methodology (from scrum to Kanban) and owns their projects from design to production.
- Test And Learn: We are not afraid to fail but we are afraid of not trying. We learn from our mistakes and always come back stronger
- Listen Up: The more we listen, the more we learn. Every person has something to teach up

Nos étapes de recrutement

Our Recruitment Process

A 30-minute screening phone call with the Team Lead CTO
A 60–90-minute interview with some engineers of the team. You will conduct a situational exercise (video call possible)
Optional meet & greet (30 minute each) with various members of the team (Product Managers, Site Reliability Engineers, and Front-end engineers…) (video call possible)
Proposal