Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
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
Location requirements
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.
MLOps Engineer working on ML processes and robust workflows at Kensho. Collaborating with engineers to enhance tooling, services, and frameworks for machine learning.
Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.