Urbiotica
With more than 100.000 sensors deployed worldwide, Urbiotica is leading the smart parking industry and is considered a pioneer of the Internet of Things fast growing sector. Thanks to its end-2-end solutions for Smart Cities, Urbiotica participates actively in the transformation of the urban areas, creating a more digital and sustainable environment for the citizens. We would like to integrate Data Science/Machine Learning Engineer to join our Software team.
Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.
About the Team
Our multicultural and multidisciplinary team is the basis of our success. The work environment and the company values allow all employees to blossom and grow in this exciting entrepreneurial project, launched more than 10 years ago in Barcelona.
About SW department
The software department focuses on managing data sent from different types of Hardware and Software sensors to extract and generate valuable information for both customers and support/hardware internal teams. We develop different software at all stages of IoT data flow, from data streaming to batch processing, machine learning, AI or visualization tools (Web/apps).
Tech stack
Here's a sneak peek into the diverse toolkit we utilize at our IoT tech company:
Our Frontend team writes code in Flutter for mobile development (iOS and Android). For web development, we rely on React and Typescript to build great interfaces.
Meanwhile, our backend team wields a combination of Java and Python to construct robust software solutions, enabling tasks such as sensor data streaming and API integration with third-party systems.
Our Data Science experts process massive amounts of data with tools like Apache Spark, Pandas, Scikit-Learn applying Machine Learning algorithms to improve sensor detection. We also implement IA algorithms like Yolo for computer vision detection.
To store all IoT data and then perform multiple analysis over them, we use as a storage layer multiple databases such as PostgreSQL, Apache Iceberg and Redis.
And when it comes to deploying our software, we rely on Kubernetes clusters, whether on AWS or our own infrastructure, using a microservices approach for flexibility and scalability.
We are evolving to AI first company using ClaudeCode and Github Copilot to develop software and create internal tools.
Your role
Within the Software Data Science team, you will do research on Machine Learning and mathematical algorithms that allow the pre-processing of large amounts of data (Big Data), the analysis of this post-processing to extract relevant information and model data to find the best methods.
You will implement and develop algorithms within the software platform to generate the necessary information that allows for the automatic and accurate detection of vehicles, reaching a success rate of 99% reliability. xsgfvud
Key Responsibilities
* Develop and maintain mathematical algorithms mainly to:
* preprocess data
* analyze data
* implement clustering methods
* model data to find best methods
* Maintain and improve software build from scratch using machine learning algorithm
* Research on new methods and implementations to improve current algorithms efficiency
* Write production-ready, supportable code
* Self-test your code (Make sure it works!)
Requirements
* University degree in mathematics, physics, computer science or equivalent work experience
* 1-3 years of experience as a Data Science/Machine Learning Developer
* Programming Python (pandas, scikit-learn), git
* Knowledge of Statistics
* Knowledge of ML algorithms
* Strong sense of responsibility, communication and teamwork skills
* Know how to work in an agile team and balance quality code with fast results
* Love to learn new technology and solve new challenges
Nice to have
* Knowledge of Apache Spark
* Knowledge of Apache Iceberg
What we offer
* Indefinite contract
* Ability to learn and grow up as a software engineer
* 50% remote time (offices are in Barcelona and there is the possibility to go when you want at the office)
* Working in a young, dynamic and technological environment with years of IoT experience