Senior Machine Learning Engineer - Remote

Overview

As a Senior Machine Learning Engineer, you will work alongside a team of machine learning engineers and clinical experts to build and deploy machine learning models aimed at automating clinical practices.

In Short

• Design, develop, and deploy advanced machine learning algorithms.
• Develop reliable and scalable production systems for machine learning models.
• Maintain reusable codebases for data preprocessing, model training, evaluation, and deployment.
• Guide and mentor junior engineers in software and machine learning best practices.
• Work closely with cross-functional teams, including product managers, clinicians, and technical leadership.
• Contribute to the improvement of healthcare processes through AI-driven innovations.
• Focus on tasks like data retrieval, classification, and generating insights from structured and unstructured data.
• Ensure ML solutions align with the company’s broader objectives.
• Collaborate with clinical experts to enhance machine learning applications.
• Participate in code reviews and contribute to team knowledge sharing.

Requirements

• Proven experience in machine learning engineering.
• Strong programming skills in Python or similar languages.
• Experience with machine learning frameworks and libraries.
• Understanding of data structures and algorithms.
• Ability to work in a collaborative team environment.
• Excellent problem-solving skills and attention to detail.
• Experience in mentoring or leading junior engineers.
• Strong communication skills to liaise with non-technical stakeholders.
• Knowledge of healthcare processes is a plus.
• Familiarity with cloud computing platforms is advantageous.

Benefits

• Fully remote work opportunity.
• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.
• Impactful work in the healthcare sector.
• Flexible work hours.
• Access to cutting-edge technology and tools.
• Supportive team culture.
• Regular feedback and performance reviews.
• Networking opportunities within the industry.