Machine Learning Engineer

Sweep is hiring a Machine Learning Engineer for our pioneering carbon management software.

Climate change is the defining challenge of our era, and technology is at the center of the fight. Sweep is arming companies with tools to manage their climate impact, thereby contributing to a better future for everyone. 

Ok, sounds promising. What will I be doing?

As a key player in our AI team, you'll be responsible for developing, deploying, and maintaining machine learning models that enhance our platform's intelligence. You will work on a mix of classical ML models and cutting-edge large language model (LLM) integrations, ensuring our AI-driven solutions are scalable and reliable.

More specifically, your mission will involve:

• ML Model Development: Design and train machine learning models to improve our carbon management tools, leveraging structured and unstructured data.
• Model Deployment & Optimization: Implement pipelines to deploy models into production, ensuring they run efficiently and scale effectively.
• MLOps & Infrastructure: Help establish the infrastructure required for ML workflows, including model versioning, monitoring, and retraining.
• LLM & AI Integration: Contribute to the deployment of LLM-based solutions, such as an internal chatbot, optimizing their performance and relevance.
• Monitoring & Maintenance: Track model performance and implement retraining strategies to keep our AI models accurate and up-to-date.
• Stay current with technology: Keep up-to-date with the latest advancements in ML, MLOps, and LLMs to drive innovation within the team.

That sounds just right for me. What do I need to bring?

Glad you asked. This is who we’re looking for:

Qualifications 🏆

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• 3+ years of experience in developing and deploying ML models in production.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud-based ML infrastructure (AWS/GCP, Kubernetes, Docker).
• Knowledge of MLOps practices, including model monitoring and automated retraining.
• Experience with API development and integrating ML models into applications.
• [Nice to have] Exposure to LLMs, vector databases, and RAG-based architectures.
• [Nice to have] Familiarity with CI/CD pipelines for ML workflows.

Qualities 🧠

• Curious, self-motivated, and eager to learn.
• Strong analytical and problem-solving skills.
• Excellent communication skills and a team player.
• Passionate about using technology to solve climate-related challenges.

Copy that. And what’s in it for me?

You will be joining an exciting young business that has the humble ambition to change the world. With a proven track record in starting companies, we’re planning to hit the ground running and have an impact fast. Joining this journey early allows you to help shape our path.

Our hybrid work model, with hiring focused around our head offices in Paris, London, and Montpellier, allows us to balance our personal and professional lives while staying connected and engaged with colleagues and clients.

We’re big believers in creating successful businesses that are good for everyone, including society and the planet. That’s why we have a B Corporation status.

We think this will be the ride of our lives. And maybe yours, too.

At Sweep, we are dedicated to promoting diversity, inclusion, and equality. We believe that a diverse talent pool drives performance and sparks innovative ideas. We ensure equal opportunities for everyone, free from discrimination. Join our team and help build a sustainable future where everyone can thrive!