Machine Learning with AI Trainer

Job Description

Position : Machine Learning with AI Trainer

Experience : 3–5 Years

Location : Bangalore (Lavelle Road)

Work Mode : work from office

Department : Training & Research

About the Role

We are looking for an experienced Machine Learning with AI Trainer to design and deliver high-quality training programs for professionals and students. The ideal candidate will have in-depth knowledge of Machine Learning algorithms, AI frameworks, and hands-on experience in implementing real-world projects. This role requires strong technical expertise along with the ability to teach, mentor, and inspire learners.

Key Responsibilities

Deliver structured and engaging training sessions on Machine Learning and Artificial Intelligence fundamentals.

Conduct hands-on labs and workshops on algorithm design, model optimization, and deployment.

Assist participants in developing and deploying AI-powered ML applications .

Prepare and maintain training materials , projects, and case studies.

Research and integrate the latest AI / ML advancements into existing course modules.

Mentor and guide learners through practical implementation and problem-solving exercises.

Required Qualifications

Bachelor’s degree in Engineering, Computer Science, or a related technical discipline.

3+ years of experience as a Trainer in Machine Learning or Artificial Intelligence (academic or corporate).

Proven experience in curriculum design , hands-on labs , and outcomes-based training delivery .

Strong expertise in Python , Scikit-learn , TensorFlow , and PyTorch .

Excellent presentation, communication , and mentoring skills.

Preferred Qualifications

Master’s or PhD in Machine Learning, Artificial Intelligence, or Computer Science.

Familiarity with Deep Learning , NLP , and Computer Vision concepts.

Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Docker, etc.).

Industry-recognized AI / ML certifications from Microsoft, IBM, Google, or similar.

Requirements

Machine Learning and Artificial Intelligence, AI-powered ML applications, cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Docker, etc.)