AI ML & Data Science Expert

Role Overview

We are looking for an experienced AI, Machine Learning & Data Science Trainer / Industry Expertwho can deliver high-quality, practical and industry-relevant training to students, professionals andcorporate learners.The ideal candidate should have strong technical knowledge of Artificial Intelligence, MachineLearning, Data Science, Python and data analytics, along with the ability to explain complex conceptsthrough practical demonstrations, projects and real-world use cases

Key Responsibilities

✓ Deliver engaging and practical training sessions in AI, Machine Learning and Data Science.

✓ Develop and update industry-oriented course content, presentations, assignments and practicallabs.

✓ Teach Python programming for AI, ML and Data Science applications.

✓ Explain Machine Learning algorithms, model development, training, evaluation and optimization.

✓ Conduct practical sessions using real-world datasets.

✓ Guide students in developing AI/ML and Data Science projects.

✓ Teach data preprocessing, exploratory data analysis and data visualization.✓ Introduce learners to Generative AI, Large Language Models and modern AI tools.

✓ Demonstrate practical applications of AI across cybersecurity, business, automation and other industries.

✓ Evaluate student performance through assignments, assessments, coding exercises and projects.

✓ Conduct workshops, bootcamps, seminars and corporate training programs.

✓ Mentor students and help them build industry-ready technical skills.

✓ Stay updated with emerging technologies, frameworks, tools and trends in AI/ML/Data Science.

✓ Collaborate with the academic and technical team to continuously improve training quality.

Technical Skills Required – AI, ML & Data Science

• Artificial Intelligence: AI concepts, Generative AI, LLMs, Prompt Engineering, AI tools/APIs, AI automation, Responsible AI
• Machine Learning: Supervised/Unsupervised Learning, Regression, Classification, Clustering, Decision Trees, Random Forest, Feature Engineering, Model Training & Evaluation, Hyperparameter Tuning, Basic Deep Learning
• Data Science: Data Cleaning, EDA, Statistics, Data Preprocessing, Visualization, Predictive Analytics, Real-world Datasets & Business Insights
• Programming & Tools: Python, NumPy, Pandas, Matplotlib/Seaborn, Scikit-learn, Jupyter/Google Colab, SQL, Git/GitHub
• Advantage: Familiarity with TensorFlow or PyTorch

Pay: Up to ₹42,000.00 per month

Work Location: In person