Overview:
The Full Time Lecturer for Data Engineering and AI/ML plays a crucial role in the organization by imparting knowledge and skills in the dynamic fields of data engineering artificial intelligence and machine learning. This role is integral in shaping the next generation of data scientists and engineers and contributing to the growth of AI/ML innovations.
Key Responsibilities:
- Deliver lectures and facilitate discussions on data engineering artificial intelligence and machine learning topics.
- Develop and update course materials and curriculum content to align with industry advancements.
- Mentor and guide students in their research and practical projects related to AI/ML and data engineering.
- Engage in continuous professional development and research to stay abreast of the latest trends and techniques in the field.
- Participate in departmental and institutional initiatives committees and activities.
- Assess and grade student assignments projects and examinations.
- Provide academic and career guidance to students pursuing data engineering and AI/ML.
- Collaborate with industry partners for internship and placement opportunities for students.
- Conduct and publish research in the areas of data engineering AI and machine learning.
- Contribute to the development and assessment of academic programs and policies.
Required Qualifications:
- Masters. in Data Engineering Artificial Intelligence Machine Learning Computer Science or a related field.
- Teaching or training experience in higher education institutions or professional settings.
- Expertise in curriculum development and instructional design for data engineering and AI/ML courses.
- Demonstrated ability to communicate complex technical concepts effectively to diverse audiences.
- Strong problemsolving skills and the ability to adapt to evolving technology and industry trends.
- Experience in project management and leading student research projects.
- Understanding of ethical and legal aspects of AI/ML and data engineering.
- Excellent interpersonal skills and a commitment to fostering an inclusive learning environment.
data engineering,teaching,research,communication,project management,machine learning