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.

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