goPro Consultancy Group ltd.
Senior Machine Learning Engineer- Full Remote
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 2, 2026
Eligible countries2 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
SwitzerlandUSA
Role overview
Senior Machine Learning Engineer- Full Remote
Requirements and responsibilities
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Details
- Conduct quantitative research, focusing on, but not limited to, applying advanced statistical learning methods to diverse data sets in order to build robust models for forecasting stock risk and returns;
- Build efficient tools and scalable systems for the team;
- Idea generation, back-end testing, and implementation;
- Evaluate new datasets for potential inclusion in our Machine Learning models;
- Design and deliver Machine Learning Models and services supporting Learning Experience Platform and its components;
- Build the core and support systems for learning platform and develop features;
- Maintenance of the core and support systems by constantly updating the source codes and allied repositories;
- Develop technical documentation and maintain active tech repositories for all tech activities carried out;
- Master degree;
- 5+ years’ experience with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop);
- Excellent skills in machine learning engineering with Python: PyTorch, TensorFlow, Caffe, Pandas, SciPy, OpenCV, Scikit-Learn;
- Experience in: Predictive modeling, Recommendation systems, Translation engine, Conversational AI;
- Academic and/or industry experience with standard AI and ML techniques, NLU, and scientific thinking;
- Experience working effectively with science, data processing, and software engineering teams;
- 5+ years’ experience with OO design and common design pattern;
- 5+ years’ experience with data structures, algorithm design, problem-solving, and complexity analysis;
- 3+ years’ experience developing cloud software services and an understanding of design for scalability, performance, and reliability;
- Experience defining system architectures and exploring technical feasibility trade-offs;
- Experience optimizing for short term execution while planning for long term technical capabilities;
- Academic and/or industry experience with standard AI and ML techniques, NLU, and scientific thinking;
- Experience working effectively with science, data processing, and software engineering teams;
- Database: RDBMS DB like MariaDB / MySQL, Postgres, SQL and NoSQL DB like Elastic Search, MongoDB, Cassandra etc;
- Container Technologies: Kubernetes, Docker;
- System Admin: BASH, Git;
- Fluent in English;
- Preferred engineering experiences: MLOps, MATLAB, and Java, Cloud platform experience: Azure and AWS;
- Ability to prototype and evaluate applications and interaction methodologies;
- Ability to produce code that is fault-tolerant, efficient, and maintainable;
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