Senior 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

• Develop and implement scalable machine learning models to solve business problems.
• Work with large datasets cleaning and preparing them for model training.
• Optimize existing models and algorithms to improve their accuracy and efficiency.
• Deploy and monitor models in a production environment.
• Collaborate with data engineering data science and product development teams to integrate models into products.
• Participate in defining technical strategy and selecting technologies for machine learning.
• Mentor and train junior engineers and specialists.

Your skills

• Bachelors degree or higher in computer science mathematics statistics or related fields.
• Over 5 years of experience in machine learning.
• Deep knowledge of machine learning algorithms and their applications.
• Understanding of working with GPU/TPU for computational acceleration.
• Experience with Decision Tree and Ensemble Methods (e.g. XGBoost).
• Knowledge of Convolutional Neural Networks (CNN) and Temporal Convolutional Networks (TCN) architectures.
• Knowledge and experience with time series data.
• Experience with Machine Learning Frameworks such as TensorFlow PyTorch scikitlearn.
• Proficiency in Programming Languages such as Python R or others used in machine learning.
• Experience working with Big Data and related tools (e.g. Hadoop Spark).
• Experience using Cloud Platforms (AWS GCP Azure) for developing and deploying models.
• Ability to work in crossfunctional teams and manage projects.
• Excellent problemsolving skills and analytical thinking.

Nice to have

• Experience interacting with data warehouses such as Snowflake Hive HDFS.
• Experience in developing and deploying realtime machine learning models.
• Knowledge of deep learning methods and their applications.
• Experience with CI/CD for ML models.
• Publications in scientific journals or participation in machine learning 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