Machine Learning Engineer

🕒 April 29

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bloomon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🛒 Retail

🛍️ eCommerce

💰 Series C on 2019-03

Retail • eCommerce

bloomon is a company that specializes in delivering fresh and dried flowers across the Netherlands. It offers a variety of floral products including bouquets, wreaths, and arrangements for various occasions such as birthdays, holidays, and special events. The company prides itself on using ultra-fresh flowers sourced directly from top growers, ensuring a long-lasting experience for customers. Bloomon also provides a flexible flower subscription service that allows customers to receive regular flower deliveries based on their preferences. Additionally, bloomon collaborates with designers for special collections and emphasizes sustainability in its practices. The company offers next-day delivery for select items and provides customers with tracking information to follow their orders. As a B Corp certified company, bloomon is committed to high social and environmental standards.

📋 Description

• Have a critical role in architecting, implementing, and maintaining production-grade, low-latency ML services for ranking models, recommendation algorithms, and forecasting methods. • Collaborate with data scientists, product managers and other teams to brainstorm best approaches for solving the problems at hand, be they product-related or with our infrastructure. • Help design experimentations to test our ideas and assess improvements to our models. • Advise on data strategy to provide datasets for future data science projects. • Deliver ML models with agreed engineering standards to ensure that our capabilities are resilient, scalable and future-proof. • Enhance our AWS-native MLOps platform, and guarantee high availability and low-latency inference for our models. • Bring energy and positivity to the role, looking for every opportunity to learn and craft the role around our values: care wildly; think deeply, act swiftly; stay open, be curious; lead change for good.

🎯 Requirements

• Have a solid foundation in traditional ML techniques and the model lifecycle, with the practical expertise to handle class imbalance, tune hyperparameters, and resolve common pitfalls like overfitting. • Have demonstrable experience designing, deploying, and monitoring ML services to solve customer and business problems. • Have strong programming skills in Python for delivering production-ready, well-structured and documented code. • Have experience with large datasets and are proficient with SQL, exposure to Snowflake and dbt is a plus. • Are curious about customer needs and take a pragmatic, data-driven, and experimental approach to solving problems. • Thrive in collaborative environments and work effectively with a range of people and teams. • Bring a positive, optimistic mindset, overcoming setbacks and motivating those around you. • Are keen to learn and stay up-to-date with the latest technologies and value sharing your knowledge with your peers.

🏖️ Benefits

• Flexible working & work from abroad • 25 days holiday + your birthday + flexible bank holidays, & option to buy additional holiday each year • 1 Volunteering day each year • Enhanced family leave and a workplace nursery scheme • A flexible training framework for every stage of your career • Irresistible discounts on our products, blooms & subscriptions! • Share in our success with a choice to take equity options from day 1 • ClassPass membership: monthly credits to spend on fitness classes, yoga and much more!