Machine Learning Operations Engineer (All Genders)

Company Description

For over 20 years, zooplus has been at the forefront of the pet category in eCommerce, serving as the Number 1 online e-commerce Pet Platform. Now, we are on the verge of an exciting new frontier, venturing into the world of Generative AI.

Job Description

Zooplus has been a pioneer in data collection for over two decades, continuously enhancing our capabilities. As a Machine Learning Operations Engineer in the Data & Analytics department at Zooplus, you'll embark on an exciting journey into the unexplored realm of Generative AI (Gen AI). We are committed to making impressive strides in this discipline with your expertise.

This role is one of several we are currently hiring for, in the ML Ops Engineer area. As part of this nascent team, you will play a critical role in the new Gen AI team we are establishing within the Data & Analytics department. Your duties will include liaising with the Product Owner, R&D, and the Data Scientist team, in addition to offering support to business AI consultants for prototyping solutions and managing backlogs.

Key Responsibilities:

• Data Exploration: Dive deep into our expanding assortment of external and internal data flows to produce insightful analyses that stimulate innovation across Zooplus.
• Machine Learning: Research, design, validate, and implement machine learning models using structured and unstructured data, leveraging advanced AI techniques.
• Communication: Effectively relay results and findings to business stakeholders through data visualizations.
• Agile Collaboration: Work in an international, agile team to create models, applications, and solutions that make Zooplus smarter and more agile in the dynamic e-commerce market.

Our tech stack includes but not limited to: 

• Proficiency in Python and Spark.
• Experience with AWS and Terraform for cloud infrastructure.
• Git and Jenkins for version control and CI/CD.

Qualifications

Required Skills:

• Exceptional team player with a "can do" attitude.
• MS/PhD in Computer Science or a related field, specializing in ML/AI.
• Solid understanding of statistical and AI/ML methods, offering expertise in the design, development, implementation, and testing of AI/ML solutions.
• Experience developing big data applications and analyses using Python and Spark (or equivalent).
• Knowledge of relational databases and query authoring (SQL).
• Working level English Proficiency

Desired but not required:

• Experience in solving optimization issues.
• Experience working in cloud environments. Preferred AWS (Kinesis, Lambda, Redshift, RDS, Athena, EC2, EMR, S3, EMR, Sagemaker).
• CI/CD experience.
• Java (with Spring Framework).
• Experience with Atlassian platform (JIRA, Bitbucket, Confluence, etc).

Additional Information

With more than 1,000 passionate professionals situated in 10 European offices, we believe our success is due to teamwork and leveraging our international strengths. You can expect to work in a hybrid environment, collaborating with colleagues located in various places remotely or in-person at the office.

Our benefits:
🐾 20% discount in our zooplus store
📖 Internal and external training
🎈 Team events
✈️ 28 vacation days and holidays on December 24th and 31st
🏋️ Corporate rates at a local gym chain (Body & Soul)
📱 Company mobile phone for work and personal use

Want to know more? Discover more about who we are and what we do and visit our