Machine Learning Engineer (Data&AI, Data Science Team)

As a Machine Learning Engineer within the Data&AI department, you will be at the forefront of developing and refining machine learning models that drive key aspects of our business. You will collaborate closely with cross-functional teams, including Product and Engineering teams, to deliver impactful solutions across various domains, from personalized product recommendations and ad relevance to pricing optimization, sales forecasting, or inventory management. Your role will involve both research and hands-on model development, ensuring our algorithms remain innovative and scalable in a fast-paced environment.

What you’ll have to do:

Develop cutting-edge techniques for fields like personalization or marketing analytics.

Dive deep into massive datasets, uncovering hidden patterns and insights through exploratory analysis and advanced analytical techniques.

Design and build machine learning models using state-of-the-art techniques, adapting them to real-world production environments, and optimizing business needs and engineering constraints.

Write high-quality production code for training and inference, ensuring seamless data validation, efficient logging, reliable exception handling, and smooth orchestration for optimal performance.

What makes you a good fit:

Have a degree in a related discipline (Mathematics, Statistics, Data Science, Computer Science).

Have hands-on experience with TensorFlow or PyTorch.

Are proficient in SQL and have a solid understanding of relational databases.

Have a passion for diving into large datasets, asking the right questions, and uncovering insights.

Have strong problem-solving skills, especially when it comes to complex technical challenges.

Can clearly communicate technical concepts and translate them into business-focused insights for both technical and management audiences.

Have a strong collaborative mindset, working seamlessly with interdisciplinary teams to tackle tough problems.