Generative AI Instructor

Company Description

Since 2020, AlmaBetter has been a pioneer in online technical education, specializing in Data Science and Web Development. With a community of over 50,000 learners and 2000+ successful placements, we bridge the skill gap and empower the tech workforce for a better tomorrow. Gain access to industry professionals from top companies like LinkedIn, Google, Microsoft, Netflix, and Airbnb. With live classes, coding problems, mock interviews, real-world projects, and a pay-after-placement program, we offer a practical and immersive learning experience. Choose AlmaBetter as your trusted partner for tech education and excel in the fast-paced tech industry.

Role Overview :

We are looking for a passionate GenAI Instructor who thrives at the intersection of cutting-edge Generative AI technologies and impactful education. As a GenAI Instructor, you will shape the future of AI education by delivering industry-aligned content, mentoring learners, and fostering the mindset to build real-world AI systems using LLMs, AI agents, RAG pipelines, LangChain, LangGraph, AutoGen, CrewAI, Stable Diffusion, and more.

Note : A strong background in Machine Learning (ML) and Deep Learning (DL) is non-negotiable. Familiarity with MLOps tools and workflows is considered a strong plus.

Key Responsibilities

1. Curriculum Ownership & Development

• Lead the design and iteration of a world-class curriculum around :

Applied Deep Learning

Applied Machine Learning

LLMs and Prompt Engineering

LangChain and LangGraph

AI Agents using CrewAI and AutoGen

RAG pipelines using LlamaIndex

Fine-tuning, RLHF, and MLOps

Stable Diffusion models

Multi-agent real-world AI projects

2. Instructional Excellence

3. Student Mentorship & Evaluation

4. Continuous Innovation

5. Industry Collaboration & Engagement

Core Topics You'll Be Expected to Teach

As a GenAI Instructor, you will be responsible for delivering comprehensive instruction and project-based learning across the following domains :

1. Applied Deep Learning

2. Applied Machine Learning

3. Programming & Data Foundations

4. Foundations of Generative AI

5. Large Language Models (LLMs) & Prompt Engineering

6. Building Agentic AI Applications

7. Retrieval-Augmented Generation (RAG) Systems

8. Fine-tuning and RLHF

9. MLOps for GenAI Applications

10. Business & Strategic Applications of GenAI

Qualifications

Preferred Skills

Skills Required

Machine Learning, Apis, Deep Learning, MLops, Pytorch, Python