AI/ML Data Science Instructor

Job Description

Title: AI/ML Data Science Instructor

Company Name: Hackules Limited

Vacancy: 3

Age: Na

Job Location: Anywhere in Bangladesh

Salary: Negotiable

Experience:

• At least 5 years

• Bachelor of Science (BSc) in Computer Science & Engineering
• Bachelor of Science (BSc) in Mathematics
• Bachelor of Science (BSc) in Statistics

1. Advanced degree (Master`s or Ph.D.) in Computer Science, Data Science, Statistics, or a related field.

• At least 5 years

1. Proven experience (at least 3-5 years) working in the field of AI/ML and data science, with a strong track record of successful projects and applications.
2. Proficiency in programming languages commonly used in AI/ML and data science, such as Python, R, or Java.
3. Deep understanding of machine learning algorithms, statistical modelling techniques, and data analysis methodologies.
4. Excellent communication and presentation skills, with the ability to explain complex concepts in a clear and accessible manner.
5. Experience in teaching, training, or mentoring individuals in AI/ML and data science is highly desirable.
6. Passion for education and a genuine interest in helping others succeed in their learning journey.

Curriculum Development:

• Design and develop a comprehensive curriculum for AI/ML and data science courses, including lesson plans, assignments, projects, and assessments.

• Stay updated with the latest advancements in AI/ML technologies and data science methodologies to ensure the curriculum reflects industry best practices.

Instructional Delivery:

• Deliver engaging and interactive lectures, workshops, and lab sessions to students with diverse backgrounds and skill levels.

• Provide personalized guidance and support to students, facilitating their understanding of complex AI/ML concepts and techniques.

• Foster a collaborative and inclusive learning environment that encourages active p’ participation and knowledge sharing.

Project Supervision:

• Oversee student projects from conception to completion, offering guidance on project ideation, implementation, and evaluation.

• Provide constructive feedback and mentorship to help students refine their projects and enhance their problem-solving skills.

Assessment and Feedback:

• Develop effective assessment methods to evaluate student learning outcomes and AI/ML and data science proficiency.

• Provide timely and constructive feedback on assignments, projects, and assessments to help students track their progress and improve their skills.

Professional Development:

• Continuously enhance your expertise in AI/ML and data science through self-study, research, and participation in relevant professional development opportunities.

• Collaborate with colleagues to share knowledge, exchange best practices, and contribute to improving instructional quality.