Senior Machine Learning Engineer

October 3

Apply Now

Receive Emails with Similar Jobs

Wave HQ

WebsiteLinkedInAll Job Openings

online accounting • small business • software development • SaaS • invoicing and payments

201 - 500

Description

• Empower small business owners with all-in-one financial management solutions. • Shape the future of AI capabilities as a Senior Machine Learning Engineer. • Develop, scale, and maintain production-grade ML models. • Collaborate with cross-functional teams on AI development and deployment. • Drive automation and scalability of MLOps stack. • Design GenAI proofs-of-concept and develop applications using AWS cloud services. • Contribute to a unified API for secure access to AI models. • Monitor reliability and mitigate risks associated with AI systems.

Requirements

• 5+ years of experience in building and deploying production-grade machine learning systems. • Strong Python and SQL skills. • Familiarity with AWS cloud services, including SageMaker, Amazon Bedrock, and Amazon Q. • Experience automating MLOps pipelines. • Hands-on expertise in developing GenAI proofs-of-concept and deploying models at scale. • Understanding of AI explainability and model observability. • Familiarity with FinOps concepts to optimize cloud resources. • Ability to identify risks and maintain ethical considerations in AI applications. • Collaborative mindset with strong communication skills.

Benefits

• Diverse learning experiences, educational allowances, and mentorship. • Investment in health & wellness, body, mind, & soul. • Fair compensation and office perks.