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Machine Learning Engineer

Il y a 2 mois


Paris, Île-de-France Ipsos Temps plein
About Ipsos Synthesio

Ipsos Synthesio is a leading marketing technology company that specializes in providing innovative solutions for global brands to make informed business decisions based on online consumer feedback.

Our cutting-edge technology, powered by machine learning models, enables us to collect, analyze, and provide intelligence on public data from various sources, including social networks, press articles, forums, search data, and more.

We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of our AI-powered solutions.

Key Responsibilities:
  • Develop and Implement Machine Learning Models: Design, 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: Enhance our existing machine learning systems, including automated sentiment and emotion analysis, named entity recognition, logo detection, scene recognition, and topic modeling.
  • Perform Statistical Analysis and Tuning: Conduct statistical analysis and tuning using test results to improve the performance of our machine learning models.
  • Extend MLOps Pipelines: Extend our MLOps pipelines to improve data and model delivery speed and quality.
  • Stay Up-to-Date with Industry Developments: Stay current with the latest developments in the field of machine learning and AI.
  • Collaborate with the Team: Collaborate with the rest of the team during team sync meetings and contribute to the development of our AI-powered solutions.
Preferred Experience:
  • Technical Skills: Proven experience as a Machine Learning Engineer or similar role, especially in NLP. Strong background in computer science and software engineering, including data structures, algorithms, object-oriented programming, code writing, and reviewing. Deep knowledge of machine learning algorithms, probability, and statistics.
  • Analytical and Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to work with complex data sets and develop creative solutions.
  • Communication Skills: Good written and oral communication skills, with the ability to effectively communicate technical ideas to both technical and non-technical stakeholders.
  • Teamwork and Collaboration: Ability to work collaboratively with the team, with a strong emphasis on teamwork and collaboration.
Benefits:
  • Real Big Data Experience: Opportunity to work with large-scale data sets and develop expertise in handling big data.
  • Flat Organization and Strong Culture: Collaborative and dynamic work environment with a strong emphasis on teamwork and innovation.
  • Partial Remote Work Option: Opportunity to work remotely up to 2 days per week.
  • International and Diverse Environment: Work with a diverse team of professionals from around the world.
  • Comprehensive Benefits Package: Competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
Our Values:
  • Win As One Team: We are a team-oriented organization that values collaboration, teamwork, and mutual support.
  • Ownership: We take ownership of our projects and are responsible for delivering high-quality results.
  • Test and Learn: We are a learning organization that values experimentation, innovation, and continuous improvement.
  • Listen Up: We value open communication, active listening, and feedback.