Learning Specialist - Data Science & AI

Bangalore, Karnataka
Permanent
Full-time

28 days ago

Job Description: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.Requirements:Key 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.

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