Machine Learning Engineer - Remote

Overview

The Machine Learning Engineer will design and implement machine learning algorithms for predictive analytics in a production environment, leveraging big data to build predictive models.

In Short

• Design and implement machine learning algorithms.
• Work with large datasets and computing clusters.
• Extract, segment, and analyze data using proprietary platforms.
• Deliver insights and recommendations to stakeholders.
• Mentor junior colleagues.
• Collaborate in a flexible work environment.
• Participate in professional development opportunities.
• Utilize machine learning tools and techniques.
• Work remotely with occasional in-person events.
• Support predictive analytics in various industries.

Requirements

• Ph.D. or Master’s degree in a quantitative discipline.
• In-depth knowledge of machine learning techniques.
• Experience with programming languages like C/C++, Python, or R.
• Familiarity with Unix/Linux command line.
• Knowledge of relational database design.
• Research and publication history preferred.
• Experience in predictive analytics in various sectors.
• Familiarity with generative AI and LLMs.
• Ability to present analytic insights effectively.
• Experience mentoring others.

Benefits

• Flexible time off and workplace flexibility.
• Support for professional growth and development.
• Collaborative and innovative work environment.
• Opportunities to attend conferences and seminars.
• Access to advanced technologies and tools.