Machine Learning Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (AI/ML): Designing, building, and deploying production-ready machine learning and generative AI solutions for global decisioning and fraud products with an accent on scalability and cloud-native deployment. Focus on implementing LLM capabilities including RAG, prompt engineering, and fine-tuning within an AWS/Spark ecosystem.
Location: Hybrid in Sofia, Bulgaria
Company
A global data and technology company that helps redefine lending practices and prevent fraud using a unique combination of data, analytics, and software.
What you will do
- Design and deploy cutting-edge ML and GenAI solutions at scale for global product launches.
- Collaborate with Engineering, Research, and Data Science teams to implement AI applications on a cloud-native AWS platform.
- Develop prototypes using GenAI tools, focusing on prompt engineering, RAG, and model evaluation frameworks.
- Write production-quality, modular code following software engineering best practices, including version control and automated testing.
- Extract insights from diverse structured and unstructured data sources and translate them into relevant business insights.
- Contribute to the evolution of the ML and AI ecosystem based on client feedback and technical requirements.
Requirements
- 4+ years of experience in AI, data science, or predictive modeling.
- Advanced degree in Machine Learning, AI, Computer Science, or a related quantitative field.
- Proficiency in Python and experience with distributed computing frameworks (AWS, Spark/pySpark).
- Hands-on experience with Generative AI tools and rapid prototyping of new concepts.
- Knowledge of model risk management, governance processes, and regulatory requirements.
- Must be based in or able to work in Sofia, Bulgaria.
Culture & Benefits
- Career growth support through learning and development programs and unlimited access to online training.
- Comprehensive social package including life and health insurance, food vouchers, and a Multisport card.
- Strong work-life balance with 25 days of paid vacation plus additional days for birthdays and social responsibility events.
- Flexible working hours and home office options.
- Positive work environment with recognized team spirit and quality recreation time.
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