GLA University | Subject Matter Specialist | india

2 days ago


india GLA University Full time

Reporting to: General Manager - Training and Development

Job Location: GLA University, Mathura Campus

Designation: Subject Matter Expert (SME)


Domains:

• Data Structure & Algorithm and System Design

• Full Stack and Database Management

• AI, ML, Data Science with Python stack

• Cognitive with expertise in Problem-Solving Skills, Life Skills & Personal Branding


Job Profile:


The subject matter expert will bring deep expertise in their respective domain and is responsible for designing and developing innovative, industry-aligned training programs that enhance students' employability skills. The SME will bring deep expertise in their respective domain and will play a pivotal role in bridging academic learning with industry requirements, ensuring students are equipped for dynamic professional environments. In this job role, SMEs will be able to make a meaningful impact by shaping the future workforce and fostering a culture of learning and excellence.


Roles and Responsibilities:


• Design, develop, and implement comprehensive training programs tailored to the specific needs of students in their respective areas (Data Structures & Algorithms, System Design, Full Stack Development, Database Management, AI/ML, Data Science, and Cognitive Skills Development.)

• Guide and mentor other trainers within the track to ensure consistent and high-quality delivery of training programs and enhance their instructional effectiveness.

• Ensure that all training content is up-to-date, relevant, and aligned with current industry standards and certifications.

• Work closely with technical trainers, academic faculties, department heads, and external industry partners to ensure program relevance and effectiveness.

• Establish partnerships with industry experts to gain insights into emerging trends and incorporate them into the training programs.

• Ensure that all training programs and their assessment meet or exceed industry-specific selection criteria.

• Provide regular reports on learner performance, training outcomes, and areas for improvement to stakeholders.


Qualifications and Eligibility Criteria:


Education: Preferably a Master's degree in Computer Science, or a related field. A PhD is a plus.

Experience: 5+ years of experience in training and development and related fields is a must.



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