We are looking for an experienced front-end engineer to build our mobile app. Your development skills will help us improve everything from our signup process, onboarding process, and core user-facing product features,

As our needs evolve, we keep exploring new tools and ideas and love working alongside people who are willing to try new things. We celebrate achievements, encourage personal growth, structure knowledge sharing, and have fun doing it all. We mostly use React Native, ReactJS, and vanilla JavaScript for our products when needed.

 

Tasks & Responsibilities

 

• Thoroughly experienced with React, React-Native, Redux, and the core principles surrounding these.
• Highly proficient in JavaScript and ES6+
• Interested in modernizing and optimizing different mobile or web applications
• Familiar with RESTful-based APIs
• Interested in bringing diverse, innovative applications to life
• Teach and help junior/mid-level developers grow
• Work with our Product and Customer support teams to provide efficient solutions
• Proficient understanding of code versioning tools, such as Git

 

Requirements

 

• 3+ years of work experience as a React Native Developer
• Able to own medium-to-large-sized features from technical design through completion
• Knowledgeable of various existing libraries to reuse in development and customized solution implementation
• Have an understanding and experience in developing complex but easy-to-use mobile applications
• Willingness to learn, sharing our passion for constant improvement
• Experience with developing and deploying performant frontend code
• Accuracy, conscientiousness, initiative, responsiveness, and adaptability
• Proficiency in English

We are looking for an experienced Machine Learning engineer to build our ML systems for a sports application called PadelCourt. You will be working on ML processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software’s predictive automation capabilities.

 

Tasks & Responsibilities

 

• Consulting with managers to determine and refine machine learning objectives.
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information by auto-tagging images.
• Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning.

 

Requirements

 

• A degree in computer science, data science, mathematics, or a related field is a bonus
• Experience as a machine learning engineer — two years or more is ideal.
• Advanced proficiency with Python, Java, and R code writing.
• Knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• Knowledge of mathematics, statistics, and algorithms.
• Analytical and problem-solving abilities.
• Communication and collaboration skills.
• Time management and organizational abilities.
• Proficiency in English