ML Engineer Reinforcement Multi-Armed Bandits| Offer intelligence
- Lisboa
- Permanente
- Horário completo
- You will develop and Enhance ML Solutions: Design, implement, and maintain production-grade machine learning systems, with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing.
- You will have Cross-Functional Collaboration: Work closely with teams in data science, engineering, product management, and business operations to bring experimental models into a robust production environment.
- You will be on Monitoring and Analysis: Continuously track model performance, visualize key metrics, and conduct deep-dive analyses to understand changes in system behavior and their impact on business outcomes.
- You will be on Iterative Improvement: Collaborate with business stakeholders to identify inefficiencies in current processes and propose data-driven, ML-powered solutions to address them.
- You will have Knowledge Sharing: Communicate results, methodologies, and technical insights to audiences of varying technical backgrounds, ensuring that both business and technical teams understand the value of your work.
- You have Foundational Experience in ML: Some background in machine learning or data science. Prior exposure to reinforcement learning, multi-armed bandits, Bayesian methods, or dynamic pricing is a plus, but not required.
- Your Technical Skills: Proficiency in Python and familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch). Experience with cloud platforms (AWS, GCP, or Azure) is beneficial.
- You have Production Mindset: Comfortable deploying and maintaining ML models in a production environment, ensuring reliability, scalability, and adaptability.
- You are Growth-Oriented: Passionate about learning new methods and solving real-world problems. Even if you don’t have all the experience listed, we encourage you to apply if you’re excited about bandit algorithms, dynamic pricing, and advanced ML techniques.
- Your Communication & Teamwork: Fluent in English and enthusiastic about working within a diverse, multinational team.
- Generous Time Off Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year
- Work-Life Balance & Flexibility Benefit from a hybrid working model, flexible working hours, and no dress code
- Great Employee Benefits Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts
- Training & Development Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development
- Health & Well-being Private health insurance to support your well-being
- Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience