Medior Machine Learning Engineer Digital(Python, MLOps, Docker, Kubernetes)
Role details
Job location
Tech stack
Job description
Do you want to impact millions of users by improving digital data science products at the biggest omni-channel food retailer in the Netherlands and Belgium? Would you like to improve your technical and problem-solving skills working in a dedicated and enthusiastic team? Then we are looking for you!
As a Medior Machine Learning Engineer at Albert Heijn Technology, you will be part of our ambitious Data Science & Analytics team. You will work closely with Data Scientists, Data Analysts, Product Owners, businesses, and technology stakeholders. Together you will deliver scalable and robust Data Science products that improve the omni-channel customer journey for millions of Albert Heijn customers. For example, improving the personal bonus offers within the Mijn Bonus Box or suggesting the most suitable products during the online shopping journey using recommendation technologies.
You will use your Software Engineering skills and your interest in Analytics, Data Science and Machine Learning methods for this role. You are a flexible, versatile Software Engineer who likes to help Data Scientists and Data Analysts develop and scale software independently while keeping production and operations in mind.
Our Digital Analytics and Data Science department consists of +/- 30 enthusiastic Analysts, Data Scientists and Machine Learning Engineers with different professional backgrounds and nationalities. Our team members are passionate, curious, and pragmatic, never afraid to get their hands dirty, always learning and adapting. As a medior MLE you understand the needs within the product you work on in terms of technical improvements but also actively contribute in discussion on how to maximize business impact.
As a Medior Machine Learning Engineer at AH Technology you will:
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Design, test and build scalable machine learning solutions in a multi-disciplinary team
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Communicate your solutions clearly to a technical audience
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Translate the requirements from stakeholders into a solution and you proactively communicate about the progress of technical stories
Requirements
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2+ years of experience as a Data Engineer, Software Engineer, AI Engineer or Machine Learning Engineer
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Strong software development skills, able to write solid readable and testable code (Python, packaging, testing, CI/CD)
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Experience in rolling machine learning out in production (MLOps, model life cycle management, monitoring)
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Experience in maintaining and evolving an existing software project that already runs in production
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Solution design skills - you enjoy architecting and designing and scalable solutions
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Excellent communication skills, you are a team player
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Experience with big data technology(e.g. Spark), writing query's and working with large datasets
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Experience in using containers (Docker, Kubernetes) and running web servers / services /APIs in production
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You are interested in analytics, machine learning, data science and experimentation
Benefits & conditions
At AH Technology, we aim to grow, and that is only possible if you grow with us
As we work together to build on our brand and your career, you can count on (based on 40 hours per week):
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An inspiring head office in Zaandam
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A competitive salary up to €70K gross per year (excl. holiday allowance)
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A profit distribution on top of your salary
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25,5 vacation days
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A budget choice in which you can decide whether you spend it on extra days (+19,5 days), discounts or pay-outs
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Flexible working hours and the possibility to work from home
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An excellent pension plan
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Courses from our Albert Heijn TOP Academy
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Attractive discounts on various insurance policies
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A travel allowance for traveling to and from Zaandam/ Business OV-chip card
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A MacBook and iPhone
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10% discount on your grocery shopping in our Albert Heijn stores, up to € 300 per year
We find it important that you can be yourself at Albert Heijn in an environment that is open to different perspectives, an environment where we are curious and appreciate each other.