Machine Learning Engineer

Key Skills

API, AWS, Azure, Deep Learning, Docker, Google Cloud Platform (GCP), Jupyter Notebook, matplotlib, Natural Language Processing (NLP), NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

Our growing team of ML Engineers is looking for new colleagues! If you are a good mix between a machine learning expert, and a software developer, and you are not afraid to learn and adapt to new ML approaches with the constantly increasing pace of progress in this field, keep reading. At Sagacify, we develop cutting-edge intelligent software solutions that are revolutionizing society thanks to AI.

Required Qualifications

• You are fluent in Python and have experience with several of these technologies/libraries:
  • TensorFlow / Keras 
  • Pandas / Numpy / Scipy
  • Scikit-Learn
  • Visualization libraries (Matplotlib, seaborn)
  • API libraries (Flask, Fastapi)
  • Docker
• You have relevant experience in Machine Learning (Supervised, Self-Supervised, and Unsupervised approaches)
• You have experience working with projects related to Deep Learning technologies (Computer Vision, Reinforcement Learning, Natural language processing)
• Experience with either AWS, Google Cloud Platform or Azure Cloud is a plus 
• You have strong communication skills and the ability to summarize complex information effectively
• You have a robust ability to adapt to technological advancements and changes within the rapidly evolving field of artificial intelligence, specifically as it pertains to the responsibilities and duties of a machine learning engineer
• You have general software engineering skills (i.e. version control systems like git, debugging, testing, ...)
• You are familiar with (big) data handling and processing
• You are highly self-driven, responsible and keen to learn
• Fluent in English, and you have professional skills in French, any other language is a plus

Why you will love working with us

• Be part of a passionate team of technology addicts
• Learn and develop your skills in different fields and technologies
• Take part to local tech meetups and international tech conferences
• Collaborate with the whole Sagacify team in a global way, bringing good ideas count more than hierarchies
• Work in an environment adapted to your needs with flexible hours. Remote work is also a part of our culture
• Get access to a competitive salary package, benefits, and budget for training and certifications