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Machine Learning Trainer

Aryavart Institute of Technology

based on 2 Reviews

2-5 years

Supaul

1 vacancy

Machine Learning Trainer

Aryavart Institute of Technology and Management

posted 7mon ago

Key skills for the job

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Course Development: Design and develop comprehensive training programs in machine learning, tailored for beginner, intermediate, and advanced levels. Topics include data preprocessing, supervised and unsupervised learning, neural networks, deep learning, and more.
Content Creation: Create and regularly update training materials, including lectures, coding exercises, datasets, projects, and real-world case studies that align with current industry practices.
Training Delivery: Conduct interactive, live training sessions via online platforms, teaching essential machine learning skills such as feature engineering, model evaluation, hyperparameter tuning, and deployment strategies.
Student Assessment: Monitor and evaluate student progress through quizzes, assignments, and practical projects. Provide feedback to help students enhance their machine learning skills and understanding.
Support and Mentorship: Offer personalized support to students, answering questions and assisting them with troubleshooting code, understanding algorithms, and improving model performance.
Continuous Improvement: Stay updated with the latest advancements in machine learning, including new tools, techniques, and libraries, and incorporate them into the training content.

Qualifications:

For Experienced Professionals:

Experience: Minimum of 2-5 years of professional experience in machine learning, including hands-on experience in developing and deploying machine learning models.
Teaching Experience: Prior experience in teaching or training, particularly in a freelance or remote capacity, is highly desirable.
Technical Skills: Proficiency in Python or R, and experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and Keras. Knowledge of cloud-based ML platforms (e.g., AWS SageMaker, Google AI Platform) is a plus.
Certifications: Relevant certifications in machine learning or related fields (e.g., TensorFlow Developer Certificate, AWS Machine Learning Specialty) are preferred but not mandatory.
Communication Skills: Excellent communication skills, with the ability to explain complex machine learning concepts in an accessible and engaging manner.

For Freshers:

Education: A degree or certification in Machine Learning, Data Science, Computer Science, Mathematics, or a related field.
Technical Skills: Solid foundation in Python or R, gained through academic coursework, personal projects, or internships. Basic understanding of key ML concepts, including data preprocessing, regression, classification, and clustering.
Passion for Teaching: A genuine interest in teaching and mentoring, with a commitment to continuously improving your instructional approach.
Communication Skills: Strong verbal and written communication skills, with the ability to simplify complex concepts for diverse audiences.