We are hiring an AI/ML Technical Trainer who will train and mentor final-year engineering students through our AI Accelerator Program—preparing them to become job-ready AI/ML engineers. This role blends technical expertise, structured teaching, and program execution. If you enjoy developing talent, creating hands-on learning experiences, and simplifying complex concepts, this role is for you.
Key Responsibilities
Training & Content Delivery
Conduct engaging sessions on AI/ML fundamentals, Python, deep learning frameworks and project-based learning.
Break down complex topics for easier understanding and apply industry examples.
Curriculum & Project Development
Build and improve training modules based on real-world use-cases.
Develop mini-projects and capstones that replicate production-level scenarios (MLOps, deployment, performance constraints).
Student Mentorship & Performance Evaluation
Guide learners through coding challenges, model development, project completion.
Evaluate student progress using assessments, benchmarks and feedback sessions.
Program Execution & Coordination
Collaborate with internal teams to structure internships and project pathways.
Present training and conversion metrics: learning outcomes, internship readiness, progress reports.
Required Qualifications
3-6 years experience in AI/ML engineering, model building or technical training.
Solid proficiency in Python, NumPy, Pandas, scikit-learn, plus exposure to TensorFlow/PyTorch.
Good understanding of MLOps concepts & cloud platforms (AWS/Azure/GCP preferred).