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ML Ops Engineer (Sep 2025 Talent Pool) Verra
Permanent
Paris
A few days home
Salary: Not specified
Skills we're looking for
Problem-solving skills
Vertex AI
TensorFlow
NoSQL
Pytorch
+4
You'll be part of
35 employees
Artificial Intelligence / Machine Learning
Digital Marketing / Data Marketing
Strategy
Average age: 32
Founded in 2021
54%
46%
We’re building strategy with the full picture.
👥 We empower our customers and our teams to thrive.
Whether it’s earning trust, empowering ideas, or rescuing teammates from spreadsheet doom, we believe support makes all the difference.
🌐 We help businesses shape a desirable and meaningful future.
AI shouldn’t be just a buzzword, it should drive real, responsible change. We’re here to create solutions that make a genuine difference, inside and outside the workplace.
🧭 We define new frontiers and lead the way in everything we do.
From tech to strategy, we don’t stick to the script. We push boundaries with curiosity, continuous learning, and a team that grows every day. Because real innovation starts with how you think, not just what you use.
You'll be working on
🌍 Join Our Talent Pool: ML Ops Engineer
At D&M, we’re always on the lookout for exceptional talent to join our dynamic team. This posting is part of our talent pool initiative, inviting passionate professionals interested in technology and AI to connect with us. By submitting your application, you’ll be first in line for roles for our future openings!
🧠 About the Role
As an ML Ops Engineer, you will be responsible for the deployment, monitoring, and maintenance of machine learning (ML) models in a production environment. You will work closely with data scientists, software engineers, and other stakeholders to implement scalable and efficient ML operational solutions, with a particular focus on leveraging AWS services.
1/ Model Deployment and Monitoring
Deploy machine learning models in batch and real-time environments on AWS.
Implement robust monitoring and alerting for ML models in production.
Develop model retraining strategies and manage workflow orchestration using Vertex AI.
Track experiments and manage model registry and versioning using tools like Vertex AI or MLflow.
2/ System Design and Integration
Design and implement data ingestion and preprocessing pipelines using AWS services.
Implement ETL/ELT processes for data management.
Handle big data using tools like Pyspark and Polars.
Utilize GCP services such as Pub/Sub, Dataproc, and Dataflow for data streaming.
Work with both SQL and NoSQL databases for data storage and retrieval.
3/ Data Preprocessing and Feature Engineering:
Handle missing data and perform feature scaling.
Apply feature selection techniques and dimensionality reduction methods.
Encode categorical data effectively.
Co-own data quality management and ensure data integrity.
4/ Coding and Implementation:
Develop ML operational solutions using Python.
Write efficient, maintainable, and scalable code.
Work with ML libraries such as scikit-learn, PyTorch, and TensorFlow.
Develop scripts for the deployment and maintenance of models on AWS.
We're looking for
We’re not just building with AI, we’re working with it, too. We’re especially excited about people who’ve explored AI in their own workflows, side projects, or teams. If you’ve used AI to make things faster, smarter, or more creative, we want to hear about it - make sure to share during the interview!
🤝 You’re the perfect fit that we’re looking for if you possess…
Proven experience (1-3 years) in deploying and maintaining machine learning models in production environments.
Proficiency in Python and ML libraries such as PyTorch and TensorFlow.
Strong understanding of ML algorithms and deep learning architectures.
Experience with big data tools (Pyspark/Polars) and data streaming (Dataflow).
Knowledge of ETL/ELT processes and data preprocessing techniques.
Deep familiarity with model deployment and monitoring on AWS.
Strong problem-solving skills and ability to work in a collaborative environment.
Fluent in English and comfortable working in an international environment.
🤝 Preferred experience
Proven experience with workflow orchestration tools.
Familiarity with experiment tracking and model versioning tools (MLflow).
Understanding of SQL and NoSQL databases.
Proven experience in developing recommender systems, fraud detection systems, or similar ML applications.
Experience with AWS services and maintaining models on AWS.
🤖 Bonus points if you’ve explored AI in your work
- We’re not just building with AI, we’re working with it, too. We’re especially excited about people who’ve explored AI in their own workflows, side projects, or teams. If you’ve used AI to make things faster, smarter, or more creative, we want to hear about it - make sure to share during the interview!
D&M celebrates diversity and is committed to creating an inclusive environment for all employees. Studies show that women and people from underrepresented groups often hesitate to apply unless they meet all the criteria. If you’re excited about this role but don’t meet every single requirement, we encourage you to apply anyway. You might be just the person we need!
Benefits
How we hire
30 mins chat with Julie, Talent Acquisition Specialist
30 mins chat with the hiring manager
A Case Study
Office tour & meet the team (if you’re Paris based) - if your team is based in Paris, we’d love to invite you to our office for a quick tour and to meet them in person!
What you’ll love about working at Descartes & Mauss
Flexible and hybrid work arrangements
Work from home (or wherever you perform best) up to 3 days per week
Join your colleagues in the office on Wednesdays & Thursdays at our WeWork space in Paris 9ème
Access to WeWork offices worldwide
Extended full remote periods during summer and the end of the year, allowing you to spend more time with loved ones
An international, diverse, and inclusive work environment
18+ nationalities represented (and growing!)
A 50-50 gender balance, ensuring equal opportunities for all
A welcoming culture that embraces new perspectives and backgrounds
A workplace that prioritizes well-being and a strong team spirit
Regular team-building activities, after-work drinks, and fun social events
An international company offsite every year - our last one was in Tuscany in 2024!
Benefits and perks
50% of Navigo transportation costs reimbursed
Swile card for meals, with a daily allowance of €16, 55% covered by us
An extra day off on your birthday apart from 25 days off + RTTs 🎊
Comprehensive mutuelle
Continuous learning and career growth:
A culture that encourages professional and personal development
Buddy program for all newcomers, ensuring a smooth integration with guidance from experienced team members
Access to training resources and mentorship from experienced peers and managers
3 company-wide workshops per year, some featuring expert speakers!
D&M celebrates diversity and is committed to creating an inclusive environment for all employees. Studies show that women and people from underrepresented groups often hesitate to apply unless they meet all the criteria. If you’re excited about this role but don’t meet every single requirement, we encourage you to apply anyway. You might be just the person we need!
Key figures
In short
Founding year
2021
Employees
35
Average age
32
Gender
46%
54%
