Senior Machine Learning Engineer

Engineering & Development
|
Senior
Senior
Slovakia
Montenegro
Colombia
Europe
|
Slovakia
Montenegro
Colombia
Europe
archived
September 18, 2024

About the company

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. But we’re 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 digitalization, mobile app development, and e-commerce. 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

  • Bachelor’s 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, scikit-learn.
  • 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 cross-functional teams and manage projects.
  • Excellent problem-solving skills and analytical thinking.

Nice to have

  • Experience interacting with data warehouses such as Snowflake, Hive, HDFS.
  • Experience in developing and deploying real-time 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, on-site 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

Start Application

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Our Hiring Process

Getting started with us

Here's what you can expect when you send us your application

Step 0

Tech Talent Hunt

Be scouted or apply for your role

Step 1

Meeting & Connecting

Our first step to building lasting relationships

Step 2

Uncovering Potential

Your HR interview

Step 3

The Code Challenge or Technical Interview

It's time to show what you can do best!

Step 4

Client’s Interview

Demonstrating expertise to our future partners

Final

The Last Piece of the Puzzle

Job offer to finalize our tech team

Join our team of innovative thinkers

Let’s talk!

Have any questions? Fill out the form and our team will be in touch!

Let’s talk!

Have any questions? Fill out the form and our team will be in touch!