Machine Learning Engineer II

About

Elevate your career as a Machine Learning Engineer II with Wave, where you'll design and develop impactful AI and ML models. This role focuses on scalable machine learning pipelines and collaborative projects.

At Wave, your expertise will drive the implementation of modern AI stack components, ensuring efficient and reliable AI systems. Work closely with a dynamic team, providing mentorship to junior engineers and collaborating across functions to meet strategic goals. Your technical leadership will foster innovation and excellence in our AI-driven initiatives.

Key Responsibilities:

• Design and implement AI stack components for workflows
• Build scalable and fault-tolerant machine learning platforms
• Mentor junior engineers to enhance team skills
• Drive MLOps best practices for continuous improvement
• Integrate AI solutions with cross-functional teams

Requirements:

• 4–6 years of machine learning engineering experience
• Degree in Computer Science, Engineering, or Data Science
• Deep understanding of the AI stack and data ingestion
• 3 years experience with AWS, Sage Maker, and Terraform
• Proficient in orchestrating workflows with Airflow

Utilize your skills in machine learning and cloud proficiency to contribute to Wave's mission of empowering small businesses.