Immediate Joiner - Technical Trainer - AIML

Role & responsibilities

AI/ML Technical Trainer

Department: Department of Career Planning & Development (DCPD)

Location: Chandigarh Campus

Role: AI/ML Technical Trainer

Employment Type: Full-Time

Experience: 36 Years

Job Summary

We are looking for an experienced and passionate AI/ML Technical Trainer to deliver industry-oriented technical training in Python, Artificial Intelligence, Machine Learning, Deep Learning, Generative AI and Large Language Models (LLMs).

The ideal candidate should have strong hands-on experience in AI/ML technologies, the ability to explain complex concepts clearly, and practical exposure to AI/ML projects, model development, evaluation and deployment.

Key Responsibilities

- Deliver instructor-led technical training in Python, Artificial Intelligence, Machine Learning and Deep Learning.

- Design and deliver practical, industry-oriented AI/ML curriculum, assignments and projects.

- Conduct hands-on sessions involving data preprocessing, feature engineering, model building, evaluation and deployment.

- Train learners on Generative AI, LLMs, RAG and Prompt Engineering.

- Guide students/learners in developing real-world AI/ML projects.

- Conduct coding exercises, assessments, technical evaluations and project reviews.

- Explain complex AI/ML concepts through practical examples and live coding.

- Mentor learners on best practices in AI/ML development and deployment.

- Stay updated with emerging trends, frameworks and tools in AI, ML and Generative AI.

- Support learners in preparing for relevant AI/ML certifications and industry requirements.

- Collaborate with academic/technical teams to continuously improve training content and delivery.

Required Technical Skills

Programming & Data Science

- Python

- NumPy

- Pandas

- Data Preprocessing

- Feature Engineering

- Exploratory Data Analysis (EDA)

Machine Learning

- Supervised & Unsupervised Learning

- Regression

- Classification

- Clustering

- Model Selection

- Model Evaluation

- Machine Learning Algorithms

Deep Learning

- Neural Networks

- Deep Learning concepts and architectures

- TensorFlow / PyTorch / Keras

AI & Generative AI

- Artificial Intelligence

- Generative AI

- Large Language Models (LLMs)

- Retrieval-Augmented Generation (RAG)

- Prompt Engineering

- AI/ML application development

ML Frameworks & Libraries

- Scikit-learn

- TensorFlow

- PyTorch

- Keras

- NumPy

- Pandas

Deployment & Projects

- AI/ML Model Deployment

- End-to-end AI/ML projects

- Model evaluation and optimization

- Practical implementation of AI/ML solutions

Preferred Qualifications

- B.Tech / M.Tech / MCA / MSc in Computer Science, AI, ML, Data Science or a related field.

- Relevant AI/ML certifications will be an added advantage.

- Strong industry experience in AI/ML development, Data Science or Generative AI.

- Prior experience in technical training, teaching, mentoring or corporate training is preferred.

Key Competencies

- Strong programming and problem-solving skills.

- Excellent communication and presentation skills.

- Ability to explain technical concepts to learners with different levels of expertise.

- Strong hands-on and practical training approach.

- Good mentoring and classroom-management skills.

- Passion for technology and continuous learning.

Ideal Candidate

The ideal candidate should be a hands-on AI/ML professional who can train learners from fundamentals to advanced concepts, including traditional Machine Learning, Deep Learning and the latest Generative AI, LLM and RAG technologies, while providing practical exposure through industry-relevant projects.

Industry/Training Experience: Mandatory

AI/ML Project Experience: Preferred

Generative AI / LLM / RAG Experience: Strongly Preferred