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.