Remote AI/ML Engineer - Production ML & MLOps

Crate and Barrel; Northbrook (IL); Hybrid; USD 80,000 - 120,000; Full time

Job summary

Crate and Barrel is looking for an AI / Machine Learning Engineer with 2-5 years of experience to enhance our production machine learning systems. The role involves developing data pipelines, implementing core models, and ensuring the operation of AI services. This position is ideal for engineers eager to learn MLOps and contribute to valuable user-facing features.

The role allows for independent work while being part of a collaborative team environment. If you have strong Python skills and experience in machine learning, we encourage you to apply.

Qualifications

• 2+ years of experience in machine learning engineering or data science.
• Solid understanding of core machine learning concepts.
• Good grasp of software development principles.

Responsibilities

• Write and test machine learning algorithms and models.
• Develop and maintain data pipelines for model training.
• Conduct A/B testing and validation experiments.
• Work within MLOps frameworks to deploy models.
• Diagnose and resolve issues related to model performance.
• Maintain model monitoring tools to track production metrics.

Skills

Proficiency in Python

Familiarity with essential ML libraries

SQL experience

Strong communication skills

Experience with cloud platforms

Education

Bachelor's degree in Computer Science/Engineering/Mathematics/Statistics or equivalent

Tools

Docker

Kubernetes

MLflow

Job description

Crate and Barrel is looking for an AI / Machine Learning Engineer with 2-5 years of experience to enhance our production machine learning systems. The role involves developing data pipelines, implementing core models, and ensuring the operation of AI services. This position is ideal for engineers eager to learn MLOps and contribute to valuable user-facing features.

The role allows for independent work while being part of a collaborative team environment. If you have strong Python skills and experience in machine learning, we encourage you to apply.