Emploi Data Engineer

Are you a Data Engineer looking for a new challenge?

If you want to expand your reach and share your knowledge with a team of professionals, contribute to the development of your colleagues' or Clients' skills, want to consolidate your expertise and grow on innovative projects, this is your opportunity!

What this experience will bring you

First of all, an interesting technical challenge but also an overview of our Client's projects.
We will build your career together and accompany you towards the development of new skills and technical leadership.

What will your role be?

We are looking for a Data Engineer to perform the following activities:

• Explore, analyse and prepare industrial data from machines, sensors, MES and quality inspection systems.
• Design, train, validate and deploy Machine Learning and/or Computer Vision models for industrial applications.
• Develop and maintain end-to-end MLOps pipelines, including training, deployment, monitoring and model lifecycle management.
• Deploy AI models in production using containerised architectures and AWS SageMaker, across hybrid on-premise/cloud environments.
• Monitor model performance, data drift and reliability, ensuring continuous improvement.
• Collaborate with IT, Manufacturing, Quality and Maintenance teams to integrate AI solutions into existing systems and CI/CD pipelines.
• Document technical solutions and promote MLOps best practices across teams.

What are we looking for in you? Experience and competencies

• Engineering degree in Computer Science, Data Science, AI, Applied Mathematics or a related field.
• Minimum 5 years of experience as a Data Scientist or Machine Learning Engineer, preferably in industrial or production environments.
• Strong experience developing and deploying Machine Learning models (predictive analytics, anomaly detection, time series and/or Computer Vision).
• Proficiency in Python, Pandas, NumPy, Scikit-learn, PyTorch and/or TensorFlow.
• Solid knowledge of MLOps practices, including model/data versioning, automated pipelines, CI/CD and performance monitoring.
• Hands-on experience with AWS, particularly SageMaker, S3, IAM, ECR and CloudWatch.
• Experience with containerisation (Docker/Podman) and orchestration (Kubernetes/OpenShift).
• Knowledge of Git, software testing and production model deployment (API, batch or streaming).

Nice to Have

• Experience in industrial manufacturing, MES, predictive maintenance or OT environments.
• Knowledge of Data Lakes, real-time streaming, Snowflake or Dataiku.
• Familiarity with Kafka, MQTT, Prometheus or Grafana.
• AWS certifications in Machine Learning, Data Analytics or Cloud technologies.

Soft skills:

• Problem solving
• Good communication skills
• Goal-oriented approach
• Self-Driven
• Proactive to solution
• Teamwork

Languages:

• French (fluent, oral and written)
• English (fluent, oral and written)