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About the role
Key responsibilities & impact- support the ML engineers by improving our MLOps platform
- Work closely with software engineers to implement the data science algorithms in the client applications in a safe, scalable and maintainable way
- Exchange with the platform team to keep the infrastructure debt at a minimum
- Help the team deploy our algorithms in production in a safe, scalable and maintainable way
Requirements
What you’ll need- You are currently pursuing a Master’s Degree in Engineering and you're looking for a end-of-study internship
- You're passionate about addressing business challenges through innovative technological solutions
- You are committed to maintaining high-quality standards in all aspects of your work
- You have a solid understanding of computer science and are eager to advance quickly in an environment that adheres to best development practices
Benefits
Comp & perks- A self-financed startup with a strong tech identity! 🧬
- Beautiful 800 m² offices in the heart of Paris (Bd Poissonnière)
- Attractive remuneration
- A caring and stimulating team that encourages skills development through initiative and autonomy
- A learning environment with opportunities for evolution
- 1 day of remote work per week
- Access to WellPass at a preferential rate to maintain your well-being 🏀
- A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpsdata science algorithmssoftware engineeringscalable systemsmaintainable codeinfrastructure managementproduction deploymentcomputer science principlesdevelopment practices
Soft Skills
problem-solvinginnovationquality assurancecollaborationcommunication
Certifications
Master’s Degree in Engineering
