ML Engineer

May 11

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Re-defining the way cardiovascular diseases are detected and treated with Artificial Intelligence (AI)

Artificial Intelligence • Cardiology • Cloud Platform • Data-driven Software

11 - 50

💰 Grant on 2022-06

Description

• Designing Machine Learning systems • Identify the architecture required to create a deep learning system to solve complex problems • Researching and implementing machine learning algorithms and machine learning tools from scratch • Selecting appropriate data sets to validate our libraries • Picking appropriate data representation methods • Identifying differences in data distribution that affects model performance • Transforming and converting data science prototypes • Running machine learning tests • Using results to improve models • Training and retraining systems when needed • Extending machine learning libraries, working at a low level, and replacing critical components • Developing machine learning apps according to product requirements.

Requirements

• Advanced math and statistics skills, including linear algebra, calculus, and Bayesian statistics • Advanced computer science skills • Strong analytical, problem-solving, and teamwork skills • Software engineering skills • Professional experience in data science • Coding and programming languages: Python, C++, C, and CUDA • Experience in working with ML frameworks • Experience working with ML libraries and packages • Understand data structure, data modelling, and software architecture • Deep knowledge of computer architecture • Comfortable working in English, Spanish is not a must-have • Provide your GitHub/GitLab/Bitbucket account to check your previous work • You contribute to JAX, Tensorflow, and/or Pytorch ecosystems.

Benefits

• Personal and professional growth as part of a fast-growing, international team • No corners cut in having the best tech equipment to do your job • Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to • Learning and development opportunities and training budget • Flexible Remuneration • Health Insurance • Regular team events and Thursday happy hours • And much more!