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Curriculum Engineer – AI/ML

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Onsite

Curriculum Engineer – AI/ML

Masai

Curriculum Engineer – AI/ML

Skills

Deep LearningPythonData ScienceMachine LearningAIContent Strategy

13 days ago

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Important information


Contract type:

Permanent

Salary:

₹600,000 – ₹800,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


About Masai School Masai School is a fast-growing EdTech platform dedicated to helping learners build successful careers through industry-relevant programs and outcome-driven learning. We design job-focused learning experiences that equip students with practical skills and prepare them for real-world opportunities in today's technology-driven industry.

About The Role We are looking for a Curriculum Engineer – AI/ML to design, develop, and continuously improve industry-aligned curricula in Artificial Intelligence and Machine Learning. The role combines technical research, curriculum engineering, instructional design, and hands-on learning development to create structured, practical, and outcome-driven educational experiences.

The ideal candidate has a strong interest in AI/ML, enjoys breaking down complex technical concepts, and can translate them into structured learning modules, hands-on projects, assignments, and assessments that prepare learners for industry requirements.

Key Responsibilities

  • Curriculum Engineering: Design, develop, and maintain structured curricula for Artificial Intelligence, Machine Learning, Deep Learning, and related technical domains.
  • Learning Content Development: Create detailed lesson plans, learning modules, presentations, assignments, quizzes, and assessments aligned with defined learning outcomes.
  • Hands-on Learning: Develop coding exercises, practical labs, real-world case studies, capstone projects, and portfolio-building assignments.
  • Technical Research: Research emerging AI/ML technologies, industry practices, frameworks, and tools to keep the curriculum relevant and up to date.
  • Concept Simplification: Break down complex technical concepts into clear, structured, and easy-to-understand learning materials.
  • Industry Alignment: Collaborate with subject matter experts, industry practitioners, and instructors to ensure the curriculum reflects real-world applications and job requirements.
  • Learning Path Design: Build progressive learning journeys that help learners develop foundational knowledge and advance toward industry-ready technical skills.
  • Assessment Design: Develop evaluation frameworks, coding assignments, quizzes, and projects to measure learner understanding and technical proficiency.
  • Curriculum Quality: Review, test, and refine learning materials to ensure technical accuracy, consistency, clarity, and quality.
  • Continuous Improvement: Use learner feedback, assessment performance, instructor inputs, and placement requirements to improve curriculum effectiveness.
  • Cross-functional Collaboration: Work with academic, product, and placement teams to strengthen learning outcomes and support the launch of new AI/ML programs.

Desired Skills & Qualifications

  • 1–3 years of experience in curriculum development, instructional design, or technical content creation.
  • B.Tech/B.E. in Computer Science, IT, Data Science, or a related field preferred.
  • Basic understanding of AI, Machine Learning, Python, and data science concepts.
  • Ability to simplify complex technical concepts and create structured learning content.
  • Experience developing technical assignments, coding exercises, projects, and assessments.
  • Familiarity with AI/ML tools, LMS platforms, and digital learning technologies is an advantage.
  • Strong communication, analytical thinking, and problem-solving skills.

Why Join Masai School?

  • Build industry-relevant AI/ML learning programs that impact learners across India.
  • Work on emerging technologies and practical AI/ML applications.
  • Collaborate with industry experts, instructors, and product teams.
  • Contribute to project-based learning experiences that bridge the gap between education and employment.
  • Work in a fast-paced, growth-oriented environment with opportunities to innovate in technology education.

Skills: learning,machine learning,curriculum design,design,curriculum development,artificial intelligence,concepts,ml,curriculum assessment

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