Caprae Capital Partners - Machine Learning Engineer

Caprae Capital Partners is an innovative private equity firm led by the principal Kevin Hong who has been a serial tech entrepreneur, and who grew two startups to $31M ARR and $7M in revenue. The fund originated with two additional tech entrepreneur friends of Kevin who have had 8 figure and 9 figure exits to Twitter and Square, respectively. Additional partners include an Ex-Nasa software engineer and an Ex-Chief of Staff from Google.

Caprae Capital in conjunction with its portfolio company launched AI-RaaS (AI Readiness as a Service) and is looking for teammates to join for the long haul If you have a passion for disrupting the finance industry and happen to be a mission-driven person, this is a great fit for you. Additionally, given the recent expansion of this particular firm, you will have the opportunity to work from the ground level and take on a leadership role for the internship program which would result in a paid role. Lastly, this is also a great role for those who are looking into strategy and consulting roles in the future as it will give you the exposure and experience necessary to develop strong business acumen.

Responsibilities

Assess and analyze current business processes, workflows, and systems to identify areas for improvement.
Design, develop, and implement AI models and algorithms to optimize operational efficiency.
Collaborate with stakeholders to understand business needs and translate them into technical solutions.
Develop and maintain scalable AI-driven tools for automation, forecasting, and decision support.
Monitor and evaluate AI models performance, ensuring accuracy and alignment with business goals.
Provide technical guidance and best practices to teams adopting AI-driven process improvements.
Document solutions, processes, and outcomes to support future enhancements.

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Proven experience in developing AI models for process optimization and automation.
Strong programming skills in Python, R, or similar languages.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with data engineering, ETL pipelines, and cloud platforms (AWS, Azure, or GCP).
Strong problem-solving skills with the ability to translate business challenges into technical solutions.
Excellent communication skills and a collaborative mindset.

Preferred Skills

Experience with process mining tools like Celonis, UIPath, or similar.
Knowledge of RPA (Robotic Process Automation) frameworks.
Familiarity with agile methodologies and project management tools.

Why Join Us

Be part of a forward-thinking team driving innovation through AI.
Opportunity to make a measurable impact on business performance.
Flexible work environment and growth opportunities.
Internship can lead to a paid role after 1-3 months
After 3-6 months, internship can lead to a PT or FT role

Machine Learning Engineer Intern