Senior Machine Learning Engineer leading cloud - hosted geospatial processing initiatives at Fugro. Translating business needs into technical plans and mentoring junior engineers in an agile environment.
About the role
- Machine Learning Engineer developing NLP models for productivity at a legal AI platform. Collaborating across teams to implement machine learning solutions in a fast-paced environment.
Responsibilities
- Develop NLP models (based on machine learning or other approaches) to help our clients become more productive. This can include supporting document search, assisting with document generation, etc.
- Maintain and monitor these models in production
- Collaborate with a variety of profiles, including engineers, product managers, and product designers, to identify new product development opportunities
- Participate in internal knowledge sharing and the consolidation of best practices within the ML chapter; contribute to defining our engineering strategy
- Mentor and upskill other engineers on the team
Requirements
- Significant experience building product-focused NLP systems, such as named entity recognition, text classification, text summarization, topic modeling, content generation, etc.
- Strong knowledge of machine learning, particularly deep learning models
- Ability to rapidly deliver prototypes in a product-centric environment
- Strong interest in artificial intelligence
- Desire to identify, evaluate, and integrate the latest scientific advances into production
- Proficient Python development skills, with a focus on algorithm construction
- Fluency in French and English
Benefits
- 🏡 Flexible remote work policy, with 2 days in the office per week (Tuesday and Thursday)
- 🌱 Many career opportunities and internal mobility available to everyone at Doctrine
- 🌴 Flexible and unlimited vacation
- 📚 Strong focus on individual and collective learning, with an annual €750 personal training budget and regular team- and company-wide training
- 🏄♂️ Regular company events
- 👩⚕️ Comprehensive health insurance with Alan
- 🚲 Sustainable mobility allowance of €66 per month
- 🏋️♀️ Gymlib subscription for sports and well-being activities
- 🍱 Swile card for meal vouchers
- 🧘 Free access to the Moka.care mental health support platform
- 💡 Hundreds of discounts and benefits negotiated through our works council (CSE)
- 🍏 New Apple work equipment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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