AI Instructor (Part Time)
Fusemachines is on a mission to democratize AI by making AI education globally accessible.
While there is a worldwide shortage of AI talent, the education & training efforts to combat this shortage is focused more on the developed world. In the developing world, the training in AI is fragmented across regions and is not uniform. Fusemachines has been addressing this challenge utilizing its in-house expertise and deep industry knowledge. Since 2016, Fusemachines has trained hundreds of students in AI across Nepal, Dominican Republic, Rwanda, Burkina Faso through its Fusemachines AI Fellowship program and the fuse.ai program including Columbia University’s MicroMasters curriculum. Our goal is to close the existing opportunity gap by providing access to high-level training in AI. We are bringing original AI training content and are using in-house industry engineers to effectively train to meet the global AI requirements.
We are looking for passionate educators and practical problem solvers with demonstrated flexibility and curiosity. Join us in our mission to democratize AI!
Deliver lectures and tutorials on scientific Python, SQL, probability, statistics (Bayesian and frequentist), machine learning, and data engineering.
Lead day-long “sprints,” maintaining a strong presence in the classroom and managing other instructional staff.
Deftly and patiently field student questions and provide feedback in lectures and office hours.
Build and refine data science curriculum and assignments.
Utilize student feedback and experimentation to continuously improve teaching and assessment methods.
Evaluate new tools, packages, and tutorials for use in the curriculum.
Contribute to local AI awareness, admissions, and nurture activities, such as attendance at meetups, speaking at conferences, leading workshops (day time and/or evening).
Multiple years of experience in industry in a Data Scientist or Software Engineer role
Master's (PhD is a plus) in a quantitative discipline such as engineering, statistics, or mathematics
Strong understanding in the topics we teach: scientific Python, probability, statistics (Probability, A/B Testing, Bayesian methods, Regression methods, Time Series, SQL, Machine Learning (Decision Trees, Random Forest, Boosting, Support Vector Machines, Clustering, Natural Language Processing, Recommenders, Graphs), Data Visualization (d3), and data at scale.
Multiple years of experience teaching a quantitative subject strongly preferred
Fusemachines provides equal employment opportunities (EEO) to all employees and applicants for employment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Please send an up-to-date resume to email@example.com.