Intelligence Artificielle jobs in United States
Vétérinaire mixte (F/H) - Vendeuvre-sur-Barse (10)
VetPartners France
Alternant chargé de communication et événementiel H/F
Win Sport School
Register Your Interest - Business Development Director
TLC Worldwide
Discover more opportunities than anywhere else. Find more jobs nowAlternance - Equipier polyvalent (CAP) - H/F
Bertrand Franchise
Chargé de projet Communication/Marketing
J'aime les Startups
Connect with headhunters to apply for similar jobsManager Actuariat - Responsable Modèle ALM Vie (H/F)
Sia Partners
Consultant stagiaire solution EPM (H/F)
BearingPoint France
Education Manager (m / f / d) – Shaping the Future of Workforce Education in Europe
EIT RawMaterials
Reporting Officer / Ingénieur nucléaire junior (H / F)
Scalian
GESTION DE PROJET IT expertise en GESTION DE PATRIMOINE F/H
Scalian
Senior Data Engineer
Job summary
A pioneering AI-driven startup is seeking a Data Engineer to lead initiatives in designing scalable data infrastructure and developing internal tools for data access. The ideal candidate will possess a Master's/PhD and over 7 years of data engineering experience, with robust knowledge in programming and cloud platforms. Join a dynamic environment focused on innovation in material sciences to reduce CO emissions.
Benefits
Qualifications
- 7+ years of data engineering experience.
- Proficiency in multiple programming languages.
- Strong SQL and NoSQL database experience.
Responsibilities
- Design and build scalable data infrastructure integrating diverse sources.
- Build optimized data pipelines for simulation, textual, and experimental data.
- Implement secure, scalable data storage systems supporting ML workflows.
Skills
Education
We're partnered with an AI-driven startup with 5M+ funding, developing generative AI to discover new materials and reduce CO emissions in carbon-intensive industries.
The Role
Reporting to the CTO, you'll lead two key initiatives :
- Design and build scalable data infrastructure integrating diverse sources (text, simulations, experiments) in support of ML and LLM applications.
- Develop internal tools enabling AI-enhanced data access and foster a data-centric culture
Key Responsibilities
- Build optimized data pipelines for simulation, textual, and experimental data
- Implement secure, scalable data storage systems supporting ML workflows
- Create automation tools for data processing
- Establish data governance policies and lineage tracking
- Collaborate with DevOps on cloud infrastructure integration
- Partner with scientists to enable data-driven decision making
- Contribute to open-source projects
Requirements
- Master's or PhD in Computer Science or related field
- 7+ years of data engineering experience
- Proficiency in multiple programming languages (Python, Rust, Scala, or Go)
- Strong SQL and NoSQL database experience
- Data modeling, ETL, and warehousing expertise
- Cloud platform experience (AWS / GCP) and infrastructure-as-code
Nice-to-Have
- ML pipeline and AI infrastructure experience
- Open-source contributions
- Familiarity with scientific data, especially materials science
- Equity package (BSPCE)
- Standard French PTO
- Flexible work environment
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.