ML Ops
About us
Spore.Bio is a deeptech start-up born in 2023, building a new paradigm in the quality control systems in Food&Beverage, Cosmetics, and Pharmaceutics factories.
After spending a lot of time in factories environments, we saw the pain it was to make sure products were safe. Traditional quality control has heavy constraints and long waiting times. To change that, we decided to build Spore.Bio, a new generation of microbiological testing.
Our team is dedicated to bringing technology and developing a cutting-edge solution, based on advanced optical and deep-learning technologies, to detect bacterial contamination within seconds.
If you ready to revolutionize microbiology monitoring in factories - Spore.Bio is actively seeking a talented and passionate ML Ops Engineer to be part part of the development of our cutting-edge solution. Join our dynamic team of R&D experts and product managers and play a key role in shaping the future of industrial microbiology.
About the role
- Deploy and monitor a fleet of pathogen detection machines, including both software and hardware components.
- Oversee the performance of deployed machine learning models, ensuring reliability and continuous improvement.
- Design and implement job scheduling systems and reporting pipelines to facilitate model training, evaluation, and performance tracking.
- Ensure robust integration between machine learning models and embedded systems, working collaboratively with data science and engineering teams.
About you
Required qualifications/ experience :
- Degree in Computer Science, Machine Learning, or a related field (Engineer diploma or MSc).
- At least 3 years of professional experience in MLOps, DevOps, or a related engineering role.
- Hands-on experience deploying and managing fleets of devices, ideally in bandwidth- or resource-constrained environments.
- Strong understanding of machine learning workflows and infrastructure requirements.
- Proficiency with cloud computing platforms (e.g., AWS, GCP, Azure).
- Experience with Docker and at least one orchestration tool (e.g., Kubernetes, Nomad)
Bonus Skills
- Interest or experience in system security, particularly for edge or embedded devices.
- Experience in bioengineering, diagnostics, or similar regulated environments is a plus.
Why joining us?
- Work in an innovative and rapidly growing startup.
- Participate in exciting and impactful projects.
- Evolve in a collaborative and stimulating work environment.
- Opportunities for professional development and continuous training.
What we offer
We believe that flexibility and trust are important parts of a company. Our work environment reflects this thanks to:
- Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints.
On top of that, we offer many perks such as:
- a budget for remote work equipment
- a Gymlib subscription for you to stay in shape wherever you are
- premium health insurance (Alan in France)
- a Swile card for your meals, if you are based in France
- frequent team events and in-person gatherings every quarter!
Recruitment process
- 30-min call with the Hiring Manager
- 45-min personality interview with two team members
- A 1 hour technical case study followed by a debrief with team members
- 1 hour Founders interview
- Reference calls
You might also be invited to meet other team members at the office for a lab visit and a coffee !
This is a unique opportunity for someone who thrives on curiosity and has a genuine passion for technology. If you enjoy taking on challenges and solving complex problems, this role will provide the perfect environment for growth and impact. The ideal candidate is someone who is self-driven, eager to learn, and excited to contribute to shaping the future of microbiology monitoring. Join our innovative and dynamic team, and let's make a difference together! We look forward to meeting you!
- Locations
- Paris
- Remote status
- Hybrid
- Employment type
- Full-time
ML Ops
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