58 Emplois pour Vision Par Ordinateur - France

WHO WE ARE

Adikteev, a member of the 2025 "French Tech 120," fuels the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and CTV UA campaigns.

With over 100 employees and offices in Paris, San Francisco, and Seoul, Adikteev operates worldwide, achieving a 60% revenue growth this year ($50m+ revenues in 2023).

HOW WE MAKE AN IMPACT

Own it, Live it : Our top priority is making sure our customers are fully supported and engaged. We're not afraid to make decisive moves, embrace challenges, and see them through to the end.
Rolling with Changes : We don't just face challenges, we anticipate them. Agility is core to who we are, and we believe in continuous learning and improvement.
Making waves with purpose : We're here to make a difference. Every decision and action is aimed at creating positive and meaningful impact.
The ADIKTEAM vibe : We're more than a team; we're the ADIKTEAM. Everyone plays a crucial role, and we're always looking for people who thrive in collaborative, supporting environments.

WHAT YOU WILL DO

We are looking for a Senior Machine Learning Engineer to help design, deploy, and evolve predictive models that power Adikteev’s core adtech systems. Our mission is to deliver efficient, scalable, and impactful machine learning systems — models that directly influence billions of real-time decisions per day.

Your responsibilities will include:

• Own machine learning pipelines end-to-end: data preparation, feature engineering, model development, training, deployment, monitoring, and iterative improvements.

• Build and maintain models focused on getting the best return-on-investment for every ad impression while satisfying production constraints specific to our industry (large volumes and low latencies).

• Collaborate closely with Engineering team to industrialize model delivery and ensure smooth operations in production.

• Investigate anomalies, performance shifts or A/B test results, and deliver clear insights to business and product stakeholders.

• Contribute to innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.

• Mentor less experienced members of the team

WHO YOU ARE

You could be a great addition to our Machine Learning team if you recognize yourself in several of the following areas:

• Academics

  • Strong theoretical background in mathematics and/or computer science

  • MS or PhD is a plus

• Professional experience

  • 6+ years of experience in hands-on roles that leverage machine learning to power a core company product

  • Significant experience with production environments: testing, deploying, monitoring, etc.

  • Experience in AdTech is a plus

• Engineering & infrastructure skills

  • Write clean, maintainable, production-quality Python code, with a strong grasp of testing, typing, CI/CD.

  • Hands-on experience with Scala, Spark, Airflow and/or AWS is a plus

  • Hands-on experience with large-scale data engineering or high-frequency inference systems is a strong plus

• Machine learning skills

  • Intimate understanding of theoretical concepts in probability, statistical learning, and optimization

  • Significant modelling experience with tabular data for classification and regression problems

  • Practical experience of deep learning and embeddings is a plus

Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France or the European Union in order to be considered for this position.

PERKS AND BENEFITS*

• Competitive Salary ;

• Performance-based Quarterly bonus with transparent KPIs;

• Profit-sharing scheme ("Prime de participation") ;

• Longevity bonus every 2 years ;

• Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev) ;

• €9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev) ;

• 4 1/2 days work week (Fridays afternoon off) ;

• “RTT” ;

• 50% of transportation fees covered by Adikteev (Navigo Pass)

• Mental Health support ;

• Flexible remote working policy ;

• Regular team-life event / activity

• Inclusive parental leave Policy.

*Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that’s both relevant and compliant wherever you are.  

OUR PROCESS

What to expect as you move through our hiring process:

• HR call with Claire, Talent Acquisition Partner ;

• Team fit interview with Loïc, Chief Product Officer ;

• Technical case study to be completed remotely with a follow-up discussion with Gwenaëlle and Nicolas, Senior ML Engineers. This discussion will involve a 30-minute live test ;

• Final interview with two executive committee members.

If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team.

OUR COMMITMENT

We’re proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don’t meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future.

Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status.

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Senior MLOps Engineer is an advanced subject matter expert, responsible for consulting with internal clients about the software technology environment with high complexity.
This role translates business requirements into technology terms and develops more complex algorithms and programming code for software solutions.
The primary objective of the Senior MLOps Engineer is to design, test, implement and maintain software code that enables computer systems to perform specific tasks and assists with determining how technology can be applied to meet client needs.
**Key responsibilities:**
+ Design and implement MLOps infrastructure using specified technology stack
+ Manage GPU-as-a-Service platform for client AI/ML workloads
+ Ensure compliance with French government security standards (ANSSI)
+ Collaborate with solution architects on client requirement analysis
+ Provide 24/7 support rotation for critical infrastructure
**To thrive in this role, you need to have:**
+ Deployed and managed Kubernetes clusters
+ Implemented enterprise-grade storage solutions for data-intensive workloads
+ Built end-to-end MLOps pipelines from development to production
+ Integrated authentication systems in secure, multi-tenant environments
+ Managed GPU resources for AI/ML workloads at scale
+ Technical Depth: Strong foundation in distributed systems and cloud architecture
+ Security Mindset: Understands and embrace security-first approach
+ Client Focus: Experience working directly with government or enterprise clients
+ Cultural Fit: Aligns with French business culture and government sector expectations
+ Growth Potential: Demonstrates ability to learn and adapt to emerging technologies
**Academic qualifications and certifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related technical field
+ Master's degree preferred but not mandatory with equivalent experience
+ French: Native or C2 level
+ English: B2 minimum for technical documentation and vendor communication
+ **And at least 2 of the following:**
+ Certified Kubernetes Administrator (CKA) or equivalent
+ Cloud platform certifications (AWS, Azure, GCP)
+ GitLab Certified DevOps Professional
+ NVIDIA GPU computing certifications
+ Security-related certifications (CISSP or equivalent)
**Non-exhausted Technology required:**
+ Kubernetes Administration and cluster Management
+ Openshift
+ Storage solutions for containers
+ OpenAI, Mistral AI, ZnML, Tensoflow, PyTorch etc.
+ GitLab CI/CD automation
+ NVIDIA GPU scheduling
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .

**Summary:**
Reality Labs is seeking an AI Research Scientist to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively with neuron-level resolution. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, and human-computer interaction.We're looking for people who want to shape the future of this technology and leverage state-of-the-art ML to push the limits of non-invasive neuromotor interfaces.
**Required Skills:**
Research Scientist, Neural Interfaces - Machine Learning Responsibilities:
1. Research and develop machine learning models that leverage biosignals to advance neural interface capabilities
2. Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, data compression, data augmentation etc.)
3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda
**Minimum Qualifications:**
Minimum Qualifications:
4. Obtained a PhD in the field of computational neuroscience, machine learning, computer science, electrical engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
5. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g. Scikit-learn, PyTorch, JAX, TensorFlow)
6. Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly
7. 3+ years of experience working autonomously to design, execute, interpret, and present research studies
8. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience working and communicating cross-functionally in a team environment
11. Experience in signal processing and familiarity with real-time signals
12. Experience with large scale cluster computing for machine learning modelling
13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, COSYNE or similar
14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
**Industry:** Internet