We are seeking experienced and passionate Subject Matter Expert (SME) in Artificial Intelligence (AI), Machine Learning (ML), Data Science, and Cloud Computing to lead the development of high-quality academic books, professional certification materials, and industry-oriented learning courses. The ideal candidate should possess deep technical expertise, excellent instructional design skills, and the ability to translate complex concepts into learner-friendly content.

This role is ideal for professionals who have hands-on industry experience and enjoy creating educational resources that bridge the gap between academia and real-world applications.

Key Responsibilities

Technical Content Development

- Author comprehensive textbooks, reference books, lab manuals, and courseware on AI, Machine Learning, Data Science, Cloud Computing, Generative AI, and related technologies.
- Design curriculum aligned with universities, engineering colleges, professional certification programs, and industry requirements.
- Create structured learning paths from beginner to advanced levels.
- Develop practical examples, case studies, projects, assignments, quizzes, and assessments.
- Write code examples in Python, SQL, R, Java, or other relevant programming languages.
- Prepare hands-on exercises using real-world datasets and cloud platforms.

AI & Machine Learning Content

Develop educational content covering topics such as:

- Machine Learning Algorithms
- Deep Learning
- Neural Networks
- Computer Vision
- Natural Language Processing (NLP)
- Reinforcement Learning
- Time Series Forecasting
- Recommendation Systems
- Classification & Regression
- Clustering
- Anomaly Detection
- Feature Engineering
- Model Evaluation
- Hyperparameter Tuning
- Explainable AI (XAI)
- Responsible AI
- AI Ethics
- AI Governance

Generative AI & Agentic AI

Develop course modules and practical implementations covering:

- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Agentic AI
- Semantic Search
- Vector Databases
- Embeddings
- LangChain
- LlamaIndex
- AI Workflows
- AI Automation
- AI Copilots
- Multimodal AI
- Fine-Tuning Techniques
- Open-source LLMs
- AI APIs and Integrations

Data Science Content

Create educational materials on:

- Data Collection
- Data Cleaning
- Exploratory Data Analysis (EDA)
- Data Visualization
- Statistics
- Probability
- Predictive Analytics
- Business Analytics
- Data Mining
- Big Data
- SQL
- Python for Data Science
- Pandas
- NumPy
- Scikit-learn
- Tableau
- Power BI
- Apache Spark
- PySpark





Cloud Computing Content

Develop learning resources for:

- Cloud Computing Fundamentals
- Cloud Architecture
- Cloud Security
- Virtualization
- Containers
- Kubernetes
- Docker
- DevOps
- CI/CD
- Serverless Computing
- Cloud Storage
- Cloud Networking
- Cloud Databases
- Edge Computing

Hands-on content for major cloud platforms:

- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)

MLOps & Production AI

Create practical content on:

- ML Pipelines
- Model Deployment
- Model Monitoring
- MLflow
- Kubeflow
- Azure ML
- SageMaker
- Vertex AI
- Experiment Tracking
- Model Versioning
- Feature Stores
- CI/CD for ML
- API Deployment
- Model Optimization
- Production AI Systems

Course Development

- Design complete online and offline courses.
- Create learning outcomes and competency-based modules.
- Develop presentation slides and instructor guides.
- Prepare practical labs and capstone projects.
- Record or review technical video scripts.
- Design certification assessments and mock tests.
- Create interview preparation material.
- Prepare coding exercises with solutions.

Research & Industry Alignment

- Continuously monitor emerging technologies and incorporate them into educational content.
- Analyze industry trends, certification frameworks, and academic syllabi.
- Update books and courses based on technological advancements.
- Incorporate real-world business use cases and enterprise applications.
- Contribute to AI innovation and educational excellence.

Editorial & Quality Assurance

- Ensure technical accuracy and pedagogical quality.
- Review and update existing books and learning resources.
- Maintain consistency in terminology, diagrams, code samples, and formatting.
- Collaborate with editors, instructional designers, graphic designers, and production teams.
- Meet publication deadlines while maintaining high content quality.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, Mathematics, Statistics, or a related discipline.
- 2+ years of professional experience in AI, Machine Learning, Data Science, Cloud Computing, Software Engineering,



or related fields.
- Proven experience in technical writing, curriculum development, or educational content creation.
- Strong understanding of AI/ML concepts and practical implementation.
- Excellent analytical, research, and technical communication skills.
- Ability to explain complex technical concepts in a simple, learner-friendly manner.

Technical Skills

Programming

- Python
- SQL
- R
- Java

AI & ML Frameworks

- TensorFlow
- PyTorch
- Scikit-learn
- Keras
- Hugging Face Transformers

Data Science Tools

- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook

Big Data Technologies

- Apache Spark
- PySpark
- Hadoop
- Kafka
- Databricks

MLOps

- MLflow
- Kubeflow
- Docker
- Kubernetes
- Git
- CI/CD Pipelines

Cloud Platforms

- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)

Generative AI

- OpenAI APIs
- LangChain
- LlamaIndex
- Vector Databases
- Pinecone
- FAISS
- ChromaDB
- RAG Frameworks

Preferred Qualifications

- Published books, technical papers, research articles, or online courses.
- Experience creating content for universities, engineering institutions, EdTech platforms, or certification programs.
- Experience with instructional design and e-learning platforms.
- Familiarity with MOOCs, LMS platforms, and digital learning ecosystems.
- Contributions to open-source AI projects or technical communities.
- Knowledge of industry certifications such as AWS, Azure, Google Cloud, TensorFlow, Databricks, or AI-related certifications.

Desired Competencies

- Robust technical writing and documentation skills
- Curriculum and instructional design expertise
- Excellent communication and presentation abilities
- Research-oriented mindset
- Attention to detail
- Problem-solving and analytical thinking
- Ability to work independently and collaboratively
- Time management and adherence to publication schedules
- Passion for teaching, mentoring, and knowledge sharing

Deliverables

The selected professional will be expected to develop:

- Textbooks and reference books
- Course modules and lesson plans
- Presentation slides (PPTs)
- Practical lab manuals
- Coding exercises and solutions
- Case studies and industry projects
- Assignments, quizzes, and examinations
- Instructor guides
- Student workbooks
- Video scripts
- Certification preparation materials
- Interview preparation content
- Assessment banks (MCQs, descriptive questions, practical problems)

Pay: ₹25,000.00 - ₹35,000.00 per month

Work Location: In person

📌 Artificial Intelligence (Subject Matter Expert) (Delhi)
🏢 Excel Books Private
📍 Delhi