Paidwork is a global freelance marketplace opportunity for people who want to earn money just by completing simple tasks, from home, on their personal devices. Over 15 million people worldwide have chosen Paidwork to increase their income. We have successfully provided additional source of funds in almost every place on Earth. With 5 different methods of earning money online, Paidwork provides additional workload to people anytime and anywhere.
In its niche and earning segment, Paidwork is an absolute leader in the number of monetizations available for earning money. By granting possibility to acquire funds on every device with internet connection, Paidwork helps all people in reaching their financial goals.
To keep up with our rapid growth in the new markets, Paidwork is looking for experienced and motivated individuals to join our expanding team.
Job description:
Model Design
Developing, implementing and evaluating machine and deep learning models
Selection of appropriate ML algorithms and frameworks tailored to specific business challenges
Data Analysis
Examining and analyzing data to prepare it for model training
Selecting appropriate features and variables for ML models
Creating Prototypes
Implementation of model prototypes to test their effectiveness
Iteratively improve models based on test results
Integration with Systems
Integration of models with existing systems and applications
Collaboration with the programming team in the integration process
Testing and Optimization
Conducting model tests and optimizing parameters to improve their performance
Monitor and maintain high quality ML models
Team Collaboration
Active cooperation with the scientific, programming and business teams
Participation in design and sprint meetings
Requirements:
Higher education related to computer science, artificial intelligence or data science
Experience working as a Machine Learning Engineer or similar role
Knowledge of machine learning tools and frameworks such as PyTorch
Programming skills, preferred knowledge of Python, R
Understanding deep machine learning and neural networks
Additional Advantages:
Experience in designing and implementing advanced ML models
Knowledge of data visualization tools and model results
Interest in trends and news in the field of ML
Portfolio of machine learning projects
We offer:
Flexible working hours, 100% remotely
A young and ambitious team, support at the start
How to Apply:
If you are interested in participating in our internships, please send your CV. Recruitment is carried out by inviting candidates who are interested in development within our company and the possibility of gaining employment there for an interview.
Join our team and develop in an environment that focuses on innovation and excellence!