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, where we invite passionate professionals interested in technology and AI to connect with us. By submitting your application, you’ll be considered for future openings that align with your skills and aspirations. Join us in shaping the future of innovation!

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. Your responsibilities include:

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.

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.

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.

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.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field highly preferred.

• 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.

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!

• 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!