upGrad - Manager - Content

1 week ago


Bengaluru, Karnataka, India upgrad Full time
Roles & Responsibilities:
  • Understand the industry requirements and design the program curriculum to meet the necessary standards.
  • Lead and guide a team of content strategists to craft the program's content.
  • Decide on suitable corrective and preventive actions to enhance students' learning journey.
  • Assist content strategists in structuring course flow and developing case studies.
  • Review content and case studies, offering feedback for enhancements to elevate content quality.
  • Select the appropriate teaching methods to deliver content and establish assessments.
  • Accountable for content quality, instructional design, and overall student learning experience.
  • Identify and engage with industry experts to shape course content and curriculum design.
  • Organize and conduct student competency assessments to address learning gaps and enhance outcomes.
  • Collaborate with the student success team to boost engagement and pinpoint areas for enhancing the learning process.
  • Work with the delivery team to ensure smooth grading processes and execute live sessions seamlessly.
  • Collaborate with the careers team to provide necessary support to students in achieving desired results.
  • Responsibilities of an ML Senior Manager:
  • Utilize expertise in Machine Learning, Data Science, and Product Management to drive innovative growth strategies.
  • Conduct market research and analyze gaps and competitors to identify opportunities for launching new machine learning programs.
  • Develop a product-market fit strategy aligning with industry demands and creating courses that meet high standards.
Quickly grasp intricate concepts to ensure top-notch content quality, instructional design, and overall course experience.

Required Skills and Qualifications:
  • Graduates with a B.Tech or BE from Tier 1/2 engineering colleges or Tier 1 companies/startups.
  • 2-3 years of experience in product or curriculum management/development focusing on ML/AI courses, or a Master's degree in ML/AI-related fields.
  • Proficient in various ML techniques such as Supervised Learning, Unsupervised Learning, and Deep Learning, with a strong grasp of Python and ML libraries like NumPy, Pandas, and Scikitlearn.
  • Experience or familiarity with MLOps is preferred.
  • Excellent written and verbal communication skills.

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