Production ML Engineer — Scale AI for European Retail

Kingfisher; United States; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive benefits package

Opportunities for career growth

Inclusive work environment

Job summary

A leading home improvement retailer in the United States seeks a Machine Learning Engineer. This role involves developing robust machine learning models and supporting their deployment into production. You'll collaborate with engineering and product teams to enhance tools and processes in a hybrid working model. Ideal candidates should possess strong Python skills, experience in machine learning techniques, and familiarity with SQL for data preparation. Join us to create impactful AI solutions and contribute to a dynamic team culture.

Qualifications

• Strong understanding of computer science fundamentals including data structures, algorithms, and software design.
• Practical experience with machine learning techniques and awareness of modern approaches like NLP and deep learning.
• Ability to monitor and evaluate model performance in a production environment.

Responsibilities

• Develop machine learning models and support their deployment into production.
• Write production quality code that is robust, efficient, and maintainable.
• Contribute to the implementation and improvement of pipelines, tooling, and automation.

Skills

Python

Machine learning techniques

SQL

Data structures and algorithms

Statistical concepts

Tools

Pandas

scikit-learn

Jupyter

Git

CI workflows

Containerization

Job description

A leading home improvement retailer in the United States seeks a Machine Learning Engineer. This role involves developing robust machine learning models and supporting their deployment into production. You'll collaborate with engineering and product teams to enhance tools and processes in a hybrid working model. Ideal candidates should possess strong Python skills, experience in machine learning techniques, and familiarity with SQL for data preparation. Join us to create impactful AI solutions and contribute to a dynamic team culture.