Learning Specialist - Data Science & AI

Weekday AI

  • Bangalore, Karnataka
  • Permanent
  • Full-time
  • 28 days ago
  • Apply easily
This role is for one of the Weekday's clientsSalary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA)Min Experience: 5 yearsLocation: BengaluruJobType: full-timeWe are seeking an experienced and passionate Learning Specialist with deep expertise in Python, PyTorch, TensorFlow, and Data Science to join our growing Learning & Development (L&D) team. In this role, you will design, develop, and deliver high-impact learning programs that empower our technical teams and upskill talent in AI, Machine Learning, and Data Science. You will play a critical role in shaping our technical training curriculum and fostering a culture of continuous learning.This is an exciting opportunity for professionals who love teaching and mentoring while staying at the forefront of data-driven technologies.RequirementsKey Responsibilities:
  • Curriculum Design:
Design and structure technical learning paths focused on Python programming, Machine Learning, Deep Learning, and Data Science fundamentals using frameworks like PyTorch and TensorFlow. * Content Development:Create engaging and hands-on learning content, including tutorials, code notebooks, exercises, and assessments. Ensure alignment with industry standards and organizational needs. * Training Delivery:Facilitate interactive workshops, bootcamps, and 1:1 coaching sessions for internal teams, ensuring high learner engagement and knowledge retention. * Subject Matter Expertise:Serve as the in-house expert for AI/ML training needs. Stay updated on the latest developments in Python, TensorFlow, PyTorch, and the broader data science ecosystem. * Learning Evaluation:Use learning metrics and feedback mechanisms to assess training effectiveness and continuously improve delivery methods and content. * Cross-functional Collaboration:Work with engineering, product, and HR teams to identify skill gaps, define training goals, and implement customized learning interventions.Required Skills and Qualifications:
  • 5–15 years of professional experience in data science, machine learning, or AI engineering roles.
  • Strong programming skills in Python, with hands-on expertise in PyTorch and TensorFlow.
  • Solid understanding of data science, including supervised/unsupervised learning, deep learning, model evaluation, and statistical analysis.
  • Proven experience in designing and delivering technical training or mentoring in professional or academic settings.
  • Ability to communicate complex technical topics in a simplified, engaging manner to diverse learner groups.
  • Experience using Jupyter Notebooks, Git, and other modern data science tools.
  • Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field. PhD is a plus.
  • Experience with e-learning platforms (e.g., Moodle, Coursera, custom LMS) is desirable.
Nice to Have:
  • Certifications in machine learning, AI, or instructional design.
  • Experience with cloud-based ML platforms (e.g., AWS SageMaker, Google Vertex AI).
  • Familiarity with curriculum development standards such as ADDIE or Bloom’s taxonomy.

Weekday AI

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