Senior Machine Learning Engineer

The Role:
  • Understand business objectives and develop models that help achieve them, along with metrics to track their progress
  • Collect data, verify data quality, and/or ensure it via data cleaning
  • Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world
  • Analyze the ML algorithms that could be used to solve a given problem and rank them
  • Analyze the errors of the model and design strategies to overcome them
  • Develop and adapt best practices to design and build complex machine learning systems
  • Build, maintain and upgrade ML pipelines
  • Deploy models to production
Main Requirements:
  • 4+ years of machine learning engineering experience
  • Bachelor’s Degree in Computer Science or related
  • Experience with Python, machine learning libraries and AI/ML frameworks (TensorFlow, PyTorch, Keras, Caffe, MXNet, Spark etc.)
  • Experience visualizing and manipulating big dataset
  • Ability to develop and adapt standard machine learning methods
  • Good understanding of statistical, machine learning and deep learning algorithms
  • Knowledge in cloud computing platforms for ML (AWS, GSP, etc.)
  • Ambition to learn and grow into different industries with a modern tech stack
  • Autonomy, adaptability and positivity (fully remote and globally distributed team)
  • Proficient in English.
What can you expect from us?
Integration in a professional, dynamic and constantly growing team that:
- Values your professional and personal growth and offers you several training courses;
- Has a strong international presence and can provide you a experience abroad;
- Is always by your side, helps and values you in every single moment.