"Temporary Online Course Developer - Machine Learning Engineering and MLOps"

Location:

Remote (U.S.-based only)

Division:

Rabb School of Continuing Studies, Brandeis University

Compensation:

$3,000 (Approx. 65 hours over 12 weeks)

Brandeis University’s Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: Temporary Online Course Developer - Machine Learning Engineering and MLOps.

This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online’s graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course focuses on the end-to-end ML lifecycle—feature stores, CI/CD pipelines, containerization, and model monitoring emphasizing responsible, scalable deployment.

Responsibilities:

The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes.

The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis’s academic standards and online course development guidelines.

Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online.

Qualifications:

• Advanced degree (Masters or Ph.D) in Computer Science, Data Science, or Software Engineering);
• Industry experience in MLOPS, ML Platform development, production of ML systems or related fields.
• Experience in end-to-end machine learning engineering, including feature engineering model training, containerization, model monitoring, and responsible deployment practices.
• Strong knowledge of interdisciplinary leadership practices, project execution, and stakeholder communication.
• At least 1 year of teaching or training experience (preferably online/asynchronous).
• Minimum 1 year experience developing asynchronous online courses for adult learners in higher education.
• Proficiency with LMS platforms and digital authoring tools.
• Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork.
• Strong communication, organization, and independent work skills.
• Familiarity with curriculum design, accreditation standards, and graduate-level rigor.
• Ability to translate interdisciplinary content into engaging, accessible learning pathways.
• Strong writing and editing skills to produce cohesive, learner-centered experiences.

Preferred Experience:

• Experience teaching or developing graduate-level online courses.
• Knowledge of global learner personas and culturally responsive pedagogy.
• Familiarity with Moodle LMS and digital authoring tools (e.g., H5P).
• Familiarity with experiential learning models and employer-aligned curriculum.

Additional Details:

• Fully remote (U.S.-based applicants only; no visa sponsorship).
• 12-week development timeline (~65 total hours).
• Compensation: $3000