Machine Learning Engineer II, Amazon Music

Amazon; Ciudad de México; Presencial; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading audio entertainment service in Mexico City seeks a Data Engineer to develop and maintain a machine learning platform. Responsibilities include building scalable data pipelines, implementing data warehousing solutions, and collaborating with cross-functional teams. Candidates should have software development experience and knowledge of AWS. This role is crucial for enhancing data-driven insights and supporting business intelligence initiatives.

Formación

• 3+ years of non-internship professional software development experience.
• 2+ years of experience in design or architecture of systems.
• Experience programming with at least one software programming language.

Responsabilidades

• Collaborate with teams to architect a machine learning platform.
• Construct data pipelines to process and transform data.
• Implement scalable data warehousing solutions.

Conocimientos

Software development

Data pipelines

Machine learning

SQL

AWS

Educación

Bachelor's degree in computer science or equivalent

Herramientas

AWS Cloud Development Kit (CDK)

PySpark

Airflow

Descripción del empleo

Description

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

Key job responsibilities

• Engage in collaborative efforts with cross-functional teams, including data scientists and business intelligence engineers, to architect a state-of-the-art machine learning platform on AWS, employing the AWS Cloud Development Kit (CDK).
• Construct resilient and scalable data pipelines using SQL/PySpark/Airflow to effectively ingest, process, and transform substantial data volumes from diverse sources into a structured format, ensuring data quality and integrity.
• Devise and implement an efficient, scalable data warehousing solution on AWS, utilizing appropriate NoSQL/SQL storage and database technologies for both structured and unstructured data.
• Automate ETL/ELT processes to streamline data integration from diverse sources, enhancing the platform's reliability and efficiency.
• Develop data models to support business intelligence, delivering actionable insights and interactive reports to end-users.
• Enable advanced analytics and machine learning capabilities within the platform, extracting predictive and prescriptive insights through tools like EMR/SageMaker Notebooks.
• Implement robust security measures and ensure data compliance with internal requirements, industry standards, and regulations to safeguard sensitive information.
• Collaborate closely with data scientists and business intelligence engineers to comprehend their requirements and work together on data-related projects.
• Generate comprehensive technical documentation covering the platform's architecture, data models, and APIs, promoting knowledge sharing and ease of maintainability.

A day in the life

As a machine learning engineer, you will collaborate with scientists and data engineers on developing and evaluating machine learning models using large datasets to improve the customer experience through better recommendations. You will own scaling up successful prototypes and implementing a reliable automated production workflow for the model.

About the team

Embark on an exhilarating journey with the DISCO team at Amazon Music! We're seeking a dynamic Data Engineer to be a vital part of propelling our success story. In this role, you'll be instrumental in crafting extraordinary Analytics & Science infrastructure for DISCO teams. Join us in championing a culture of inclusivity and a data-driven mindset, where every team member at Amazon Music is empowered to make informed decisions and measure their impact. Join us on this exciting quest to redefine how we approach insights and decision-making for all!

Basic Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

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