We build the company around people – so we’re looking for teammates who want to build something big with us, too!
Our international team of more than 500 professionals is spread across the United States, Europe, Latin America, Australia, and India. We are connected by our innovative thinking and desire to create as one team. Our clients come from industries such as healthcare, data engineering, warehouse automation, retail digitalization, mobile app development, and e-commerce. Due to the varied nature of our projects, we value teammates with fresh perspectives and unique experiences. What makes you different makes you right for our team.
Find your place on our team!
The project and your role
* Assist in developing and testing machine learning models under the guidance of senior engineers.
* Prepare and clean data for model training.
* Conduct basic data analysis and create reports.
* Test and validate machine learning models.
* Support the deployment and monitoring of models in production environments.
* Participate in discussions and development of new machine learning solutions.
Minimum Qualifications
* Bachelor’s degree in computer science, mathematics, statistics, or related fields (or in the final year of study).
* Basic knowledge of machine learning algorithms and their applications.
* Experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn (including academic projects).
* Proficiency in programming languages such as Python, R, or others used in machine learning.
* Experience with data manipulation and analysis tools (e.g., pandas, NumPy).
* Ability to quickly learn and adapt to new technologies and tools.
* Strong teamwork and communication skills.
* Problem-solving ability and analytical thinking.
Nice to have
* Internships or academic projects in machine learning.
* Experience with cloud platforms (AWS, GCP, Azure) for developing and deploying models.
* Basic knowledge of working with big data and related tools (e.g., Hadoop, Spark).
* Participation in open-source projects or scientific conferences.
What we can offer
* Our modern stack projects are the right mix of exciting and challenging.
* Access to diverse training programs, courses, and certifications.
* Flexible work styles - remote, on-site, or hybrid in our offices. We offer flexible working hours.
* Enhance your language skills with our corporate English classes.
* Work from anywhere and explore the world with our Workation program.
#J-18808-Ljbffr