The Placement Coordinator \u2013 STEM is responsible for\nconnecting students or trainees with employment opportunities in science and\ntechnology fields. This role focuses on aligning candidate skills with industry\nrequirements in areas such as software development, data science, engineering,\nresearch, and emerging technologies.
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Key Responsibilities<\/b>
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1. Industry Engagement & Partnerships<\/b>
<\/p>- Build\n and maintain relationships with IT companies, engineering firms, R&D\n organizations, and startups
<\/li> - Identify\n hiring needs in domains like AI, data science, software engineering,\n electronics, and mechanical fields
<\/li> - Coordinate\n campus recruitment drives and industry interactions
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2. Candidate Skill Assessment & Alignment<\/b>
<\/p>- Evaluate\n students\u2019 technical skills, projects, and certifications
<\/li> - Match\n candidates with suitable job roles (developer, analyst, engineer,\n researcher, etc.)
<\/li> - Identify\n skill gaps and collaborate with trainers/faculty to address them
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3. Pre\-Placement Training & Readiness<\/b>
<\/p>- Organize\n technical training sessions (coding, tools, domain\-specific skills)
<\/li> - Conduct\n mock interviews (technical + HR) and aptitude tests
<\/li> - Prepare\n students for assessments on platforms like HackerRank and LeetCode
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4. Placement Coordination<\/b>
<\/p>- Plan\n and execute placement drives, hackathons, and recruitment events
<\/li> - Coordinate\n interview schedules, technical tests, and hiring processes
<\/li> - Ensure\n candidates are interview\-ready and meet employer expectations
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5. Internship & Research Opportunities<\/b>
<\/p>- Facilitate\n internships with tech companies, startups, and research labs
<\/li> - Connect\n students with live projects, fellowships, and innovation programs
<\/li> - Encourage\n participation in hackathons and technical competitions
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6. Data Management & Reporting<\/b>
<\/p>- Maintain\n databases of student profiles, technical skills, and placement records
<\/li> - Track\n KPIs such as placement rate, average salary, and domain\-wise hiring
<\/li> - Generate\n reports and insights to improve placement strategies
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7. Post\-Placement Support<\/b>
<\/p>- Monitor\n candidate performance and retention in technical roles
<\/li> - Collect\n feedback from employers regarding skill relevance
<\/li> - Support\n career progression through upskilling and certifications
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8. Academic & Training Collaboration<\/b>
<\/p>- Work\n with faculty to align curriculum with industry standards
<\/li> - Recommend\n inclusion of emerging technologies (AI, cloud, cybersecurity, IoT)
<\/li> - Support\n development of industry\-relevant projects and capstone work
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Required Qualifications<\/b>
<\/p>- Bachelor\u2019s\n degree in Engineering, Computer Science, IT, or related STEM field
<\/li> - 1\u20133\n years of experience in placements, recruitment, or training (preferred)
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Key Skills & Competencies<\/b>
<\/p>- Basic\n understanding of STEM domains and technical roles
<\/li> - Strong\n communication and employer engagement skills
<\/li> - Knowledge\n of technical hiring processes and assessments
<\/li> - Analytical\n thinking and problem\-solving
<\/li> - Organizational\n and coordination skills
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Preferred Attributes<\/b>
<\/p>- Experience\n in campus placements or EdTech/STEM programs
<\/li> - Familiarity\n with coding platforms and technical interview processes
<\/li> - Passion\n for technology and career development
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Key Performance Indicators (KPIs)<\/b>
<\/p>- Number\n of students placed in STEM roles
<\/li> - Average\n salary/package and job relevance
<\/li> - Internship\n conversion rate (internship → full\-time)
<\/li> - Employer\n satisfaction and repeat hiring
<\/li> - Student\n retention and career progression
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