Machine Learning Engineer: Personalized Recommendations

hace 2 semanas


Barcelona, Barcelona, España Constructor A tiempo completo

About the Role

We are looking for a highly skilled Machine Learning Engineer to join our Recommendations team at Constructor.

The ideal candidate will have a strong background in machine learning fundamentals and experience in designing and delivering personalized recommendation systems.

You will be responsible for creating cutting-edge algorithms that optimize for business KPIs like revenue & conversions for our Recommendations product.

We focus on metrics over features, arming our recommendation algorithms with powerful capabilities that bring value to customers in the way they care the most about.

The team consists of a mix of designers, full-stack, and machine learning engineers owning & collaborating on multiple projects.

Key Responsibilities

• Create a cutting-edge personalized recommendation system using ML, engineered to handle over 100 million requests per day seamlessly.

• Design & deliver new recommendation features & products to satisfy customer needs & drive revenue growth in an efficient manner.

• Improve business KPIs by validating hypotheses with new recommendation features & techniques.

• Participate in strategic planning, brainstorming & prioritization sessions to improve the recommendations product.

• Collaborate with technical and non-technical business partners to develop analytical dashboards that describe the impact of recommendations to stakeholders.

Requirements

• Strong knowledge of machine learning fundamentals.

• Proficient in Python, SQL, and big data stack like Spark, Presto/Athena & Hive.

• Experience in delivering production ML systems and conducting A/B tests to validate their value.

• Excellent English communication skills.

• Passion for helping others grow and succeed as developers.

• Data-driven mindset with a passion for experimenting and using customer feedback to drive decision-making.

Nice to Have

• Experience with building recommendation or ranking systems.

• Proficient in server-side coding for web services and understanding API design principles.

• Experience with NoSQL, distributed systems, and caching solutions.



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