Adjunct Instructor in Machine Learning Engineering and MLOps

Course Details

Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 110 Machine Learning Engineering and MLOps for the Fall 1 2026 session. This 3‑credit asynchronous online course is an 8‑week requirement for the Master of Science in Applied Data Science and Decision Analytics.

This course focuses on the end‑to‑end ML lifecycle—feature stores, CI/CD pipelines, containerization, and model monitoring—emphasizing responsible, scalable deployment.

• Course Logistics and Facilitation: Organized and timely rollout of course content; maintain consistent communication through weekly announcements; ensure all instructional activities occur within university‑approved digital platforms.
• Instructor Presence and Engagement: Build an active teaching persona by hosting live introductory sessions; facilitate weekly academic discourse in forums; maintain regular availability for student consultation.
• Individual Feedback and Grading: Provide transparent, rubric‑based evaluations and supportive commentary on student work within a standardized weekly timeframe.
• Professional Conduct and Standards: Adhere to university communication protocols; promote respectful online “netiquette”; ensure the course meets accessibility and technical visibility standards before and during the term.

• Required: Advanced degree (M.Sc./Ph.D.) in Computer Science, Data Science, or Software Engineering; industry experience in MLOps, ML platform development, or production of ML systems; experience in end‑to‑end machine learning engineering (feature engineering, model training, containerization, model monitoring, responsible deployment); at least one year of teaching or training experience (preferably online/asynchronous); experience with online instruction; excellent communication and teaching skills in an online learning environment.
• Preferred: Prior online teaching experience at the graduate level; knowledge of global learner personas and culturally responsive pedagogy; familiarity with Moodle LMS and digital authoring tools (e.g., H5P).

Interested candidates should submit a cover letter highlighting relevant qualifications and teaching experience, a current CV or resume, and contact information for three professional references. Application review begins 5/27/2026 and will continue to accept submissions on an ongoing basis.

Compensation for this position is $6,573.15. The University’s pay ranges represent a good‑faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate will be based on factors such as scope and responsibilities of the position, the candidate’s work experience and education/training, internal peer equity, and applicable legal requirements.

Brandeis University is an equal opportunity employer and does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a “protected class”).

Applicants who require accommodation in the job application process are welcome to contact Human Resources at 781‑736‑4474 or via email, human resources. Certain positions at Brandeis University may require a background check. For additional information, visit the Human Resources Office website.