Mid/Senior Machine Learning Specialist

HR factory GmbH
๐Remote - Lithuania
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Summary
Join our client, a leading telecommunications solutions provider, as a Machine Learning Specialist. You will contribute to the development of a cutting-edge fraud detection tool for major telecom operators. Your responsibilities will include designing and implementing machine learning solutions, improving internal processes, and measuring product productivity. This role requires experience with machine learning frameworks, application development, and software development skills. We offer a competitive salary, benefits such as flexible hours and remote work possibilities, professional development opportunities, and a collaborative work environment.
Requirements
- Have experience with at least one machine learning framework (sklearn, xgboost, etc.)
- Have experience developing machine learning applications from scratch in industry setting
- Possess some software development skills
- Understand the mathematical methods behind machine learning algorithms
Responsibilities
- Delve into the telecommunications sector to effectively create solutions for fraud detection using the tools available
- Drive Machine Learning projects from ideation to production
- Suggest internal processes improvements
- Measure the productivity of existing products
- Execute the performance studies
Preferred Qualifications
- Have experience with Python
- Have experience deploying machine learning models to production
- Have experience with a deep learning framework (one of PyTorch, Tensorflow, etc.)
- Have some knowledge on machine learning interpretability
Benefits
- Interesting and challenging projects
- Flat command chain
- Personalized development plan and regular progress reviews
- Skill-based pay and motivational system
- Profit-sharing and special bonuses
- Christmas gifts: gratitude to all our employees in recognition of their special dedication
- Work-Life balance: great working conditions and flexible hours
- Remote work possibility
- Potential to travel abroad and communicate with worldwide-known clients
- Constant improvement of professional skills (trainings, seminars, exhibitions, etc.)
- Parking: convenient on-site parking available
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