AI Instructor (Part Time)

Santo Domingo, República Dominicana
Desarrollo de Software
Medio Tiempo
30 May 2019

Detalles del Puesto

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 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).

Expected Experience:

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.

Como aplicar

Please send an up-to-date resume to

La prueba de JOEL

Es un cuestionario para medir la calidad del equipo de desarrollo de tu empresa. Coteja las opciones que apliquen.
Esto es opcional y solo aplica para posiciones relacionadas al Desarrollo de Software

¿Usan algún tipo de control de versiones? (Git, Subversion)
¿Pueden hacer pases a producción en un solo paso?
¿Compilan el producto diariamente?
¿Tienen una base de datos de bugs?
¿Corrigen los bugs antes de añadir más código?
¿Tienen una planificación actualizada?
¿Tienes un documento de especificaciones?
¿Están los programadores en un lugar tranquilo?
¿Utilizan las mejores herramientas que puedes comprar?
¿Tienen gente para probar los productos?
¿Hacen escribir código a los nuevos candidatos en las entrevistas?
¿Hacen pruebas de usabilidad 'de vestíbulo'?