Machine Learning Engineer - Python, Java, AWS - Remote

Overview

Atimi is seeking an experienced Machine Learning Engineer to fill a position in Canada. Please note this is a fully remote position with EST/CST working hours but we're open to candidates from all provinces. Atimi works with some of the leading companies in North America, providing them with high-quality software solutions that integrate both mobile and web experience. If you are a creative, self-motivated individual with vast user experience working with complex problems, Atimi is the place for You. We are looking for an established leader in the domain with solid experience in software development principles, hands-on knowledge of the latest cloud technologies and soft skills. You work well with colleagues, partners and clients and have great communication skills.

In Short

• Proactive collaboration in the project team to help develop the product using your experience to help guide the team through the entire development lifecycle
• Ensuring code quality and governance
• Ensuring engineers follow any patterns/designs set out and agreed with project leads
• Planning, estimating, and contributing to the architecture, coding, and development
• Refactoring and continuous improvements of the codebases
• Ensuring that technical decisions and information are communicated thoroughly to the global team
• Taking responsibility for releases and contributing to the ongoing support of live apps
• Looking beyond pure programming, get involved with the deployment and operation of the software we build (DevOps, MLOps)
• Delivering fair outcomes for our customers, ensuring conduct maintains a high level of professionalism

Requirements

• Solid experience in software development principles
• Hands-on knowledge of the latest cloud technologies
• Great communication skills
• Experience in Machine Learning frameworks
• Ability to work well with colleagues, partners, and clients

Benefits

• Fully remote work environment
• Opportunity to work with leading companies in North America
• Flexible working hours (EST/CST)
• Supportive team culture
• Professional development opportunities