tuisku is at the forefront of revolutionizing waste management through cutting-edge technology. Our commitment to sustainability and innovation drives us to seek talented individuals who can contribute to our mission of creating a cleaner, more efficient world.
to drive sustainable solutions and meet the qualifications above, we invite you to apply by sending your resume and a cover letter outlining your relevant experience to "Contact us" tab Please include "AI Engineer Application" in the subject line.
Location: Barakaldo - Flexible/Remote Options Available
Responsibilities:
TensorFlow/Keras Expertise:Assemble, develop, and implement TensorFlow/Keras models for advanced computer vision applications.
Generate output in the form of images and .csv tables, ensuring seamless integration with our waste separation solution.
Big Data Implementation:Lead the implementation of big data solutions for comprehensive data extraction, transformation, and processing (ETL) in the context of waste management.
Manage APIs to facilitate smooth data flow and communication between various components of our technology stack.
Neural Network Mastery:Design and optimize multilayer, deep multilayer, convolutional, recurrent, and LSTM neural networks.
Contribute to the continuous improvement of our waste sorting technology by leveraging the latest advancements in neural network architectures.
Qualifications:Proven experience in TensorFlow and Keras, with a track record of successful model development and deployment.
Strong proficiency in big data technologies, including data extraction, transformation, and processing (ETL), as well as API management.
Expertise in various types of neural networks, including multilayer, deep multilayer, convolutional, recurrent, and LSTM networks.
Familiarity with image processing and the generation of structured outputs such as .csv tables.
Solid programming skills in languages such as Python and proficiency in related libraries and frameworks.
Preferred Qualifications:Previous experience in waste management or related industries.
Demonstrated ability to work collaboratively in a dynamic and innovative environment.
Location: Barakaldo - Flexible/Remote Options
Responsibilities:
Technological Proficiency:Develop and implement solutions using OpenCV, TensorFlow, Python, Pandas, NumPy, scikit-learn, and TFlite.
Utilize Python with Pandas and Scala with Spark for efficient data extraction, transformation, and processing (ETL) within the datio.com service.
Data Processing and Modeling:Work with Jupyter Notebook, NumPy, Pandas, and scikit-learn to analyze and process data.
Build and optimize machine learning models for advanced applications in waste management.
Collaboration and Integration:Collaborate with cross-functional teams to integrate data science and machine learning solutions into our waste separation technology.
Contribute to the continuous improvement of our systems through innovative data-driven approaches.
Qualifications:Proficient in OpenCV, TensorFlow, Python, Pandas, NumPy, scikit-learn, and TFlite.
Experience with data extraction, transformation, and processing (ETL) using Python with Pandas and Scala with Spark.
Expertise in Jupyter Notebook, NumPy, Pandas, and scikit-learn for data analysis and modeling.
Preferred Qualifications:Familiarity with waste management or related industries.
Strong problem-solving skills and a passion for leveraging technology for sustainable solutions.
Ability to work collaboratively in a fast-paced and innovative environment.
Innovation and Impact:Contribute to cutting-edge waste management technology with a direct impact on sustainability.
Professional Growth:Access to ongoing learning opportunities and potential for career advancement.
Collaborative Culture:Join a diverse and collaborative team fostering a positive work environment.
Flexibility:Enjoy flexible work options, including remote work for a healthy work-life balance.
Competitive Compensation:Receive competitive pay and comprehensive benefits.
