Trainer

Position Title: Trainer - DSA & Placement Preparation

Full-Time | On-Ground, Campus-Based

Location: LPU, Phagwara

Level: Mid-Level, Individual Contributor

Reports to: Training Manager

ABOUT OUR PROGRAM

We are building India's future-ready technology workforce through industry-aligned programming

education. Our partnership with LPU focuses on delivering cutting-edge technical training in Data

Engineering and AI and, placement preparation to equip students for successful careers in

technology. We combine rigorous academics with practical, hands-on training and strong placement

outcomes.

ABOUT THE ROLE

This is a hands-on role for an experienced trainer who combines technical excellence with strong

student mentoring. You will teach Data Structures & Algorithms (DSA) and placement preparation,

while owning student learning outcomes, engagement, and placement readiness. You are not just an

instructor—you are a trainer, mentor, and student success owner rolled into one. You'll work on-

ground at the LPU campus, directly engaging with students daily.

MUST-HAVE SKILLS

Data Structures & Algorithms Expertise

 Strong command of fundamental and advanced data structures (arrays, linked lists, trees,

graphs, heaps, etc.)

 Deep understanding of algorithm design, complexity analysis, and optimization techniques

 Proficiency in at least 2-3 programming languages (C++, Java, Python)

 Hands-on problem-solving ability and experience with coding platforms (LeetCode,

HackerRank, etc.)

 Ability to teach DSA from fundamentals to advanced concepts with clarity

Placement Preparation & Interview Coaching

 Demonstrated experience in placement training and interview preparation

 Strong knowledge of technical interview patterns, coding challenges, and problem-solving

strategies

 Experience conducting mock interviews and providing constructive feedback

 Understanding of resume building, interview techniques, and placement landscape

 Familiarity with current placement trends and industry requirements

Teaching Experience (Required)

 Minimum 2 years of hands-on teaching or training experience in DSA, programming, or

technical subjects

 Proven ability to make complex technical concepts accessible to diverse learner audiences

 Experience designing or delivering structured curriculum with assessments and projects

 Strong classroom presence, high energy, and genuine passion for student success

Student Experience & Communication

 Strong ownership mindset for student satisfaction and learning outcomes

 Comfortable working full-time on-ground at university campus

 Clear verbal and written communication in English

 Professional communication with students, faculty, and institutional stakeholders

 Ability to identify at-risk learners and intervene proactively

GOOD-TO-HAVE SKILLS

 Experience with AI/ML fundamentals or data science basics

 Familiarity with online learning platforms and LMS

 Experience in EdTech or university delivery programmes

 Knowledge of data analytics or foundational data engineering concepts

 Certifications in DSA, competitive programming, or technical domains

 Experience building learning aids or student success tools

 System design basics or advanced problem-solving experience

 Multilingual abilities

KEY RESPONSIBILITY AREAS (KRAs)

DSA & Technical Instruction

 Deliver high-quality sessions on Data Structures, Algorithms, and coding fundamentals per

curriculum schedule

 Design engaging learning materials, assignments, and hands-on coding exercises

 Conduct regular assessments and provide constructive feedback on student performance

 Maintain current knowledge of industry-relevant DSA concepts and best practices

Placement Preparation & Interview Readiness

 Lead comprehensive placement preparation: DSA coding sessions, mock interviews, resume

reviews

 Conduct weekly mock interview drills and provide detailed feedback

 Guide students on interview techniques, system design basics, and career readiness

 Track student placement progress and coordinate with placement partners

Student Experience & Learning Outcomes

 Own student satisfaction and learning outcomes end-to-end

 Conduct regular student check-ins; identify at-risk learners and intervene proactively

 Maintain high student engagement and motivation throughout the program

 Provide 1:1 mentoring, doubt-clearing sessions, and career guidance

On-Ground Campus Presence

 Maintain strong daily on-campus presence and availability for students

 Ensure high attendance and sustained student motivation

 Build strong rapport with students and support their holistic development

 Coordinate with LPU stakeholders on student concerns and program requirements

Performance Tracking & Reporting

 Maintain weekly dashboards on student progress, learning outcomes, and placement

pipeline

 Track and report on key metrics: attendance, assessment scores, placement readiness

 Provide timely escalation reports on at-risk learners or program concerns

 Ensure accuracy and timeliness of all documentation and data