Machine Learning Engineer

Há 1 mês


Porto Alegre, Rio Grande do Sul, Brasil Ambush Consulting Tempo inteiro

About Ambush Consulting

Ambush Consulting is a people company that cares about its employees as much as it cares about building great products. We take a human-centered approach to identifying, retaining, and integrating highly-talented, long-term remote employees into America's best product and development team.

Our Consulting Journey

We began our consulting journey in 2015 and have been growing ever since. We deliver high-quality work for our clients by taking calculated risks and seeking the best possible solutions.

Our Team

We are passionate about what we do every day and rely on our team to have our backs. Teamwork is one of our core values, and we expect our employees to be team players.

Job Responsibilities

As a Machine Learning Engineer, you will:

  • Research ways to improve Machine Learning models and algorithms;
  • Improve data collection pipelines;
  • Develop and train Machine Learning models;
  • Develop inference pipelines;
  • Deploy Machine Learning models in production;
  • Simulate new algorithms running in production;
  • Compare models and algorithms;
  • Work with Machine Learning models that run on the edge;
  • Process signals from multiple sensors;
  • Produce well-written research in English;
  • Develop analysis and visualization tools in Python;
  • Collaborate with people from Hardware, Firmware, Embedded Linux, Backend, Frontend, and Mobile;
  • Learn new things every day.

Requirements

We are looking for a candidate with:

  • Past experience with Machine Learning and Data Analysis;
  • Past experience with Python for Data Analysis and Software Development;
  • Knowledge of modern Machine Learning models (e.g. Convolutional Networks, Recurrent Networks, ...);
  • Comfort working with PyTorch, Pandas, Numpy, and Jupyter;
  • Familiarity with SQL queries;
  • Familiarity with signal processing techniques;
  • Familiarity with the fundamentals of Probability and Statistics;
  • Excellent written and verbal communication skills in English and Portuguese.

Preferred Location

Porto Alegre

Experience Level

Mid-level



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