Junior Machine Learning Engineer

About the company

We build the company around people so were 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. But were all connected by our innovative thinking and desire to create as one team. Our clients are from industries like healthcare data engineering warehouse automation retail digitalisation mobile app development and ecommerce. As our projects are so varied we value teammates who have fresh perspectives and unique experiences. For us what makes you different makes you right for our team.

Find your place on our team!

The project and your role

• Assist in the development and testing of 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 a production environment.
• Participate in discussions and development of new machine learning solutions.

Your skills

• Bachelors degree in computer science mathematics statistics or related fields (or final year of study).
• Basic knowledge of machine learning algorithms and their applications.
• Experience with Machine Learning Frameworks such as TensorFlow PyTorch scikitlearn (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.
• Problemsolving 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 opensource projects or scientific conferences.

What we can offer

• Our modern stack projects are the right mix of exciting and challenging
• Gain access to our diverse range of training programs courses and certifications;
• Choose your work style remote onsite or hybrid in one of our stunning offices. We offer the freedom of flexible working hours.
• Enhance your language skills with our corporate English classes
• Work from anywhere and explore the world with our Workation program

Remote Work :

No