Senior Data Engineer
Paris or Grenoble, FR
PROPHESEE
REVEAL THE INVISIBLE with the world's most advanced neuromorphic vision system, inspired by human vision and built on the foundation of neuromorphic engineering. PROPHESEE gives Metavision to machines, revealing what was previously invisible to...Prophesee is the inventor of the world’s most advanced neuromorphic vision systems.
The company developed a breakthrough Event-Based Vision approach to machine vision. This new vision category allows for significant reductions of power, latency, and data processing requirements to reveal what was invisible to traditional frame-based sensors until now.
Prophesee is based in Paris, with local offices in Grenoble, Shanghai, Tokyo and Silicon Valley. The company is driven by a team of more than 100 visionary engineers and holds more than 50 international patents.
Prophesee is looking for a Senior Data Engineer to join their team in Paris or Grenoble.
JOB DESCRIPTION
A significant part of our pipelines includes Machine Learning networks. This requires the permanent acquisition of data for learning and testing purposes.
With the present position opening, Prophesee is looking both to streamline its data acquisition campaigns and to optimize data transmission and storage schemes.
For this purpose, we are looking for an experienced Data Engineer whose mission is to set up the collection and provision of data within the company in collaboration with our experts in Machine Learning and Computer Vision. He/she is also in charge of industrializing and putting data processing into production (for example: provision of dashboards, integration of statistical models) in conjunction with the teams that analyze and process them. This position requires:
- Great inter-personal skills, to collaborate and communicate with teams in charge of the requirements and teams that are consuming the data.
- Excellent organization and analytic skills for resourcing and managing the data collection and preparation solutions.
- Excellent IT skills for designing and implementing the data forwarding and storage.
- Outstanding rigor and attention to details,
JOB RESPONSIBILITIES
- Project management. Collect needs and requirements from algorithm teams in charge of data processing and write the data acquisition plan. Report activity.
- Collect data. Develop solution for acquiring data. Recruit the team for executing the data collection campaign. Develop tools for acquiring data and solutions for storing them.
- Supply data to data users. Automate cleaning, validation and preparation of data. Manage, maintain and document multiple databases. Manage the data life cycle in accordance with the directives set out in the GDPR.
The position does not involve extensive travel but may occasionally require travelling for the purpose of data collection or for meeting customers and prospects.
QUALIFICATION, EXPERIENCE AND SKILLS
Required
- Bachelor’s degree in computer science, engineering or other relevant technical field
- Experience with images in deep learning pipelines is mandatory
- 5+ years of experience in data engineering and/or IT
- 3+ years of experience in people/resources management
- Experience in programming languages (C++, Python,...) and scripting languages
- Experience in cloud environments
- Knowledge of at least one Data Base system
Key differentiators
- Experience of data handling solutions such as ETL/LET
- Knowledge of HADOOP ecosystem or equivalent
- Agile development methodology
Language skills: English is mandatory as it is the working language of the company.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Computer Vision Deep Learning Engineering ETL Hadoop Machine Learning Pipelines Python Statistics Testing
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open NLP-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs