2 месяца назад
Senior Machine Learning Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Fintech): Designing and training machine learning models that personalize insurance result rankings and improve customer conversion and engagement with an accent on model experimentation, quantitative analysis, and production-oriented development. Focus on building end-to-end ML solutions, developing bidding and targeting methodologies, and validating business impact through data-driven experiments.
Location: Sofia, Bulgaria — Hybrid
Company
is a fast-growing fintech startup using artificial intelligence, technology, and product design to help customers compare, purchase, and manage insurance.
What you will do
- Design, train, and iterate on machine learning models and algorithms for personalized product-result ranking.
- Identify machine learning opportunities, propose experiments, and build models that improve customer conversion and engagement.
- Own ML solutions end to end, from problem formulation and data exploration through validation and iteration.
- Collaborate with engineers and stakeholders using Git, code reviews, and reproducible experimentation practices.
- Partner with Marketing to develop and improve machine-learning-driven bidding and targeting methodologies.
Requirements
- 4+ years of relevant machine learning experience and a graduate degree in a technical or quantitative discipline.
- Experience building and applying machine learning models with measurable business impact.
- Strong hands-on skills in Python, NumPy, pandas, scikit-learn, and SQL.
- Experience working in production-oriented codebases and using Git for version control.
- Ability to clarify ambiguous business problems and translate them into effective ML solutions using quantitative and programming skills.
- Fluent spoken and written English and Bulgarian.
Culture & Benefits
- Hybrid office environment in Sofia with a collaborative and friendly office culture.
- Employee stock options.
- 25 days of annual leave.
- Enhanced private medical, dental, and vision insurance.
- Yearly wellbeing budget or Multisport card, plus an Employee Assistance Program.
- Personal learning and books budget, office snacks and beverages, and regular social events.
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