LNT/IT/1824546

- LEDT-Edutech
- Mumbai

- Posted On 09 Aug 2026

- End Date 05 Feb 2027

- Required Experience10 - 15 years

Skills

Knowledge & Posting Location

Data Science Artificial Intelligence Data Visualization Machine Learning Deep Learning

Minimum Qualification

Master of Technology (MTech)Master of Computer Applications (MCA)Bachelor of Engineering (BE)

Job Description

Key Responsibilities

- Design and develop industry-aligned curriculum and learning paths in AI/ML.
- Create engaging training materials, including presentations, lab manuals, coding exercises, case studies, assignments, and projects.
- Deliver instructor-led classroom and virtual training sessions.
- Mentor students during hands-on labs, capstone projects, and hackathons.
- Develop practical assessments, coding challenges, and evaluation rubrics.
- Review and continuously enhance existing learning content based on industry trends.
- Collaborate with instructional designers and academic partners to improve learner outcomes.
- Provide technical guidance to trainers and support faculty enablement programs.
- Stay updated with emerging AI/ML technologies and integrate them into the curriculum.

Required Technical Skills

Mathematics & Statistics for Machine Learning

- Statistics and Probability
- Linear Algebra
- Basic Calculus (Differentiation, Optimization)

Programming & Problem Solving

- Core Python Programming Concepts
- Data Structures and Algorithmic Problem Solving
- Pandas and NumPy for Data Manipulation
- Data Preprocessing and Feature Engineering

Machine Learning

- Supervised and Unsupervised Learning Algorithms
- Model Evaluation Metrics (Accuracy, Precision/Recall, F1, ROC-AUC, RMSE, etc.)
- Scikit-learn
- Bias-Variance Tradeoff, Overfitting/Underfitting, Regularization

Deep Learning

- Deep Learning Fundamentals
- CNNs, RNNs/LSTMs, Transfer Learning Models, VAE, and GAN
- Computer Vision and NLP concepts
- TensorFlow or PyTorch (at least one)

Data Analytics & Visualization





- Advanced Excel for Data Analysis
- Power BI Fundamentals, Tableau, Dashboard Development, and Data Storytelling

Database

- SQL Fundamentals and Database Querying (Joins, Aggregations, Subqueries)

Generative AI & Agentic AI

- Basics of Generative AI (GenAI)
- LLM – Transformer Architecture and Working Principles
- RAG, Prompt Engineering and Fine-tuning techniques
- Agentic AI Concepts and Multi-Agent Systems

Preferred Skills

- Git and GitHub
- REST APIs (Flask or Rapid API)
- Cloud platforms (Azure, AWS, or GCP) - especially AI/ML services
- MLOps Basics (model deployment, versioning, monitoring)
- Jupyter Notebook
- Streamlit or Gradio
- Docker

Educational Qualification

- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- Candidates with a Bachelor of Engineering (B.E./B.Tech.), Master of Engineering (M.E./M.Tech.), MCA, or equivalent qualifications are encouraged to apply.

Required Competencies

- Excellent communication and presentation skills.
- Strong analytical and problem-solving abilities.
- Passion for teaching and mentoring.
- Ability to simplify complex mathematical and technical concepts.
- Strong curriculum development and documentation skills.
- Effective stakeholder management and collaboration.
- Time management and multitasking abilities.

Preferred Experience

- Experience in EdTech, higher education, or corporate training.
- Experience delivering technical training to engineering students or working professionals.
- Experience creating project-based learning content and coding assessments.
- Hands-on industry experience as a Data Scientist, ML Engineer, or AI Engineer.
- Experience with Learning Management Systems (LMS) is an added advantage.

Key Deliverables

- Curriculum and syllabus design for Lab programs
- Instructor presentations
- Lab manuals and coding exercises
- Assignments and assessments
- Capstone projects
- Question banks and evaluation rubrics
- Faculty enablement sessions
- Student mentoring and technical support

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📍 India