We're looking for a talented machine learning engineer to join our team

MindTitan is home to data scientists and engineers, innovators and creators. Our goal is to empower other businesses while growing into the leading AI powerhouse in the world.

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What you’ll be doing

Our solutions are powered by machine learning and wrapped in software to interface other systems and humans to the AI components. The machine learning engineer is the central player in building these systems. Come help us build an AI-driven world.

The stack is heavily oriented around the Python data science ecosystem. There are usually asynchronous components involved as well as various scalability issues.

Your tasks will include

  • Packaging and deploying machine learning models to production systems
  • Optimizing the performance of ML systems across the stack
  • Working with a wide range of different data sources: text, images, video, audio, voice, and tabular
  • Building voice streaming, processing, packet capture systems
  • Building and maintaining pipelines that run ML models online or batch
  • Training models 
  • Some of the technologies you might stumble upon in existing projects: fastAPI, TensorFlow, sklearn, numpy, Airflow, Kubernetes, Keras, PyTorch, Kaldi, MLFlow, Docker

What skills we’re looking for

Experience with a specific set of tools is not as important. The following checklist would set you on the right track:

  • 2+ years of hands-on experience working with back-end and database technologies
  • Experience with the Python data science stack
  • Flexibility to work on different projects
  • Having lots of curiosity and an eye for details
  • Excellent written and verbal English communication skills

How to apply?

How to apply?
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To apply for the job, please send your CV and a brief introduction to or fill out the form.

We’re always open to meeting and chatting with talented data scientists and engineers looking to join MindTitan.