Machine Learning Engineer: Recommendations
hace 3 semanas
About Constructor
Constructor is a leading provider of product search and discovery solutions for the largest retailers in the world. Our platform serves billions of requests every year, making us a crucial part of the e-commerce ecosystem.
About the Role
We are seeking a highly skilled Machine Learning Engineer to join our Recommendations team. As a key member of this team, you will be responsible for designing and developing cutting-edge personalized recommendation systems using machine learning algorithms. Your work will focus on optimizing business KPIs such as revenue and conversions for our Recommendations product.
Key Responsibilities
- Design and develop new recommendation features and products to satisfy customer needs and drive revenue growth
- Improve business KPIs by validating hypotheses with new recommendation features and techniques
- Participate in strategic planning, brainstorming, and 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
- Proficiency in Python, SQL, and big data stack technologies such as Spark, Presto/Athena, and Hive
- Experience with 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
- Strong strategic planning and prioritization skills
- Continuous learning and tracking of recent advancements in the field of AI and ML
Nice to Have
- Experience with building recommendation or ranking systems
- Experience with building high-load real-time ML 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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