Assistant Professor – English Institution: HKBK Degree College Location: Bangalore, India Employment Type: Full-time (Immediate Joiner) Job Description: HKBK Degree College is looking for a dedicated and passionate Assistant Professor in English to join our faculty. The candidate should have strong subject knowledge, excellent communication skills, and a commitment to teaching and research. Eligibility Criteria: Educational Qualification: Master’s degree (M.A. in English) with NET/SET/Ph.D. preferred. Experience: Freshers and experienced candidates can apply. Joining: Immediate joiners preferred. Key Responsibilities: Teach undergraduate and/or postgraduate courses in English literature and language. Develop and deliver engaging lesson plans and instructional materials. Guide students in academic research, projects, and assignments. Participate in curriculum development and academic activities. Conduct assessments and provide constructive feedback. Engage in research and scholarly activities. Application Process: Interested candidates can apply by sending their resumes to [email protected] . For more details, contact: 9611219838 Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Education: Master's (Preferred) Experience: Teaching: 1 year (Preferred) total work: 1 year (Preferred) Work Location: In person
Full job description Assistant Professor Qualification : B Com M Com BBA & MBA Experiences : 0 to 10years Roles and Responsibilities: Teaching: Delivering lectures and lessons, preparing course materials, and evaluating students’ performance through exams, assignments, and other assessments. Continuously enrich the deliverables on learning aims of the curriculum for undergraduate and postgraduate programs. Mentoring: Guide, lead, and mentor students in research projects, Advising students and serving as role models to assist in directing their professional and academic development. Service: Participating in departmental and institutional activities, serving on committees, and helping in recruitment and mentor new faculty members Professional Development: Expanding professional development, going to conferences and workshops, and collaborating with peers to advance their research and teaching objectives . Evaluate, monitor, and mentor students’ academic progress. Create, innovate and implement career-enhancement programs and activities. Assess, review and evaluate student activities and progress. Be instrumental in helping students secure career opportunities in areas of Finance/Marketing/Operations Management/HRM/General Management. Be instrumental in challenging the way students think, learn, and develop their understanding of academic disciplines. Develop core curriculum and deliver course material effectively. Make the best use of tools and technologies to facilitate understanding of students. Organizing seminars and events to interact with established industry professionals. Review methods and teaching materials to make recommendations for improvement. Key Responsibilities: Delivery of sessions on syllabus as per university norms. Managing student discipline and learning experience. Innovation & Development in pedagogy. Create excellent student learning experience. Provide reports to university and vertical head as and when required. Contact Details: 9400563289 / 9066174609 Job Type: Full-time Benefits: Health insurance Schedule: Day shift Education: Master's (Preferred) Job Type: Full-time Pay: ₹30,000.00 - ₹45,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Education: Master's (Preferred) Experience: Teaching: 1 year (Preferred) total work: 1 year (Preferred) Work Location: In person
Assistant Professor BBA Department HKBK Degree College in Bengaluru is seeking a qualified Assistant Professor for their Bachelor of Business Administration (BBA) program. The ideal candidate will possess strong communication skills, proactive monitoring abilities, problem-solving capabilities, effective time management, leadership qualities, teamwork orientation, and critical thinking skills. Qualifications: BBA and MBA degrees in specializations such as Finance, Marketing, Human Resources. A minimum of 1 years of teaching experience at the undergraduate level. Responsibilities: Delivering lectures and conducting tutorials for BBA students. Developing course materials and lesson plans. Assessing student learning through assignments and examinations. Providing academic support and guidance to students. Participating in faculty meetings and academic committees. This full-time position is located in Nagawara, Bangalore, Karnataka. The salary is competitive and commensurate with experience and qualifications. Interested candidates are encouraged to apply by sending their application, attaching updated CV with a scanned copy of all necessary certificates and a passport-size photograph, to careers1@hkbk.edu.in . Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Education: Master's (Preferred) Experience: Teaching: 1 year (Preferred) total work: 1 year (Preferred) Work Location: In person
BBA HOD – HKBK Degree College Key Responsibilities: Provide academic leadership and ensure effective delivery of the BBA curriculum in line with university and industry standards. Supervise and manage all administrative operations within the department. Plan academic schedules, allocate faculty workloads, and monitor teaching progress. Guide and support faculty in teaching methodologies, research activities, and professional development. Organize guest lectures, industry visits, seminars, workshops, and student development programs. Maintain discipline and monitor student attendance, academic performance, and behavior. Oversee documentation processes required for NAAC, IQAC, and other statutory bodies. Coordinate with internal and external stakeholders for smooth departmental functioning and growth. Facilitate internships, placements, and career guidance in collaboration with industry partners. Qualifications: Postgraduate degree in Management (MBA / M.Com) from a recognized university. Ph.D. in Management or related field (preferred and as per UGC norms). Experience: Minimum 5 years of teaching experience in a Degree College . Mandatory prior experience as Head of Department (HOD) in a BBA Department . Key Skills & Competencies: Leadership and team management Strong academic and curriculum planning skills Excellent communication and interpersonal abilities Familiarity with UGC, NAAC, IQAC, and university documentation requirements Capability to build and maintain academic and industry relationships Student mentoring and discipline management Performance Indicators: Syllabus completion and university result performance Student placement and internship success Faculty performance and development initiatives Compliance with academic quality standards Student and parent satisfaction feedback Apply on mail : [email protected] WhatsApp : 9611219838 Job Type: Full-time Pay: From ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Work Location: In person
BBA HOD – HKBK Degree College Key Responsibilities: Provide academic leadership and ensure effective delivery of the BBA curriculum in line with university and industry standards. Supervise and manage all administrative operations within the department. Plan academic schedules, allocate faculty workloads, and monitor teaching progress. Guide and support faculty in teaching methodologies, research activities, and professional development. Organize guest lectures, industry visits, seminars, workshops, and student development programs. Maintain discipline and monitor student attendance, academic performance, and behavior. Oversee documentation processes required for NAAC, IQAC, and other statutory bodies. Coordinate with internal and external stakeholders for smooth departmental functioning and growth. Facilitate internships, placements, and career guidance in collaboration with industry partners. Qualifications: Postgraduate degree in Management (MBA / M.Com) from a recognized university. Ph.D. in Management or related field (preferred and as per UGC norms). Experience: Minimum 5 years of teaching experience in a Degree College . Mandatory prior experience as Head of Department (HOD) in a BBA Department . Key Skills & Competencies: Leadership and team management Strong academic and curriculum planning skills Excellent communication and interpersonal abilities Familiarity with UGC, NAAC, IQAC, and university documentation requirements Capability to build and maintain academic and industry relationships Student mentoring and discipline management Performance Indicators: Syllabus completion and university result performance Student placement and internship success Faculty performance and development initiatives Compliance with academic quality standards Student and parent satisfaction feedback Apply on mail : careers1@hkbk.edu.in WhatsApp : 9611219838 Job Type: Full-time Pay: From ₹50,000.00 per month Benefits: Health insurance Schedule: Day shift Work Location: In person
JD & KRA — Data Analytics Trainer (Engineering, MBA, BCA, BBA, B.Sc./BCS cohorts) Role Snapshot Field Details Position Title Data Analytics Trainer Department Upskilling & Industry Collaboration Learner Segments Engineering, MBA, BCA, BBA, B.Sc./BCS Core Stack Excel (Adv/Power Query/Power Pivot) , SQL (MySQL) , Power BI (DAX/Modeling) , Tableau , Python (NumPy, Pandas, Matplotlib) , Applied Statistics & ML (intro) , AI-assisted analytics Primary Objectives Build industry-ready analytics capability via project-based learning, continuous assessment, placement alignment, and measurable outcome improvements Role Summary Own end-to-end delivery of a multi-tool analytics curriculum covering Excel, SQL, Power BI, Tableau, Python, Applied Statistics/ML and AI assistants. Design mini/capstone projects and rigorous assignments, run continuous assessments, track each learner’s progress, and collaborate with the Placement Cell to improve tech-round conversions and overall quality. Key Responsibilities (JD) A. Curriculum & Delivery Deliver outcome-oriented modules mapped to programme level (UG/PG/Engineering vs Management depth). Excel (Foundations → Advanced): formatting, functions, raw-data handling, Power Query cleaning & conditional columns, data connectors , Power Pivot (cardinality, cross-filter). Advanced Excel III: Pivot Tables, Charts, Slicers, Measures, Dashboarding . MySQL: syntax, clauses/operators, NULL handling; joins, CASE, GROUP BY, HAVING ; subqueries, UNION/INTERSECT/EXCEPT, stored procedures, CTEs, window functions . Power BI: connectors; Power Query (append/merge, pivot/unpivot), data modelling , DAX (measures vs calculated columns, time-intelligence, cumulative/moving average), publishing & basic RLS; visuals & dashboarding (cards/KPIs/gauges, matrices, slicers) including “ChatGPT-assisted measures” where appropriate. Tableau: data connections; chart suite; sorting/grouping/filtering; colours/labels/tooltips; maps, hierarchies, actions, stories, sharing . Maths & Applied Statistics: descriptive stats, probability, hypothesis testing, A/B testing . Python: basics → functions/modules, pickle, NumPy (stats on arrays), Pandas (clean/merge/concat/join), Matplotlib charts; web scraping (Requests/BeautifulSoup), table extraction, multi-page scraping, basic text analysis . ML (Intro): regression, decision trees, random forests/ensembles; clustering, hierarchical clustering, dimensionality reduction, cross-validation, evaluation metrics/ROC. AI for Analytics: using copilots to generate/debug code, data cleaning, SQL crafting , model-selection support, anomaly detection— with accuracy checks and responsible use . B. Projects, Assignments & Portfolios Mini projects per module (e.g., Excel margin bridge; SQL cohort analysis; Power BI executive dashboard; Tableau churn story; Pandas data-cleaning pipeline). Capstones by domain (retail/fintech/ops/HR/marketing): problem framing → ETL → visuals → insights → recommendations/ROI. Mandate portfolio publishing : Power BI Service/Tableau Public (or screenshots if private) + GitHub (SQL/Python, READMEs). C. Continuous Assessment & Progress Tracking Baseline diagnostic; weekly labs/quizzes; timed SQL/Excel tests; dashboard practicals. Transparent rubrics (data prep, correctness, visual quality, insightfulness, documentation). Maintain progress dashboards (attendance, scores, milestones, risk flags) and run remedial clinics with targeted plans. D. Placement Enablement Map teaching to company patterns (Excel/SQL tests, dashboard tasks, case interviews). Conduct mock case interviews and storytelling drills ; schedule tool sprints before drives; align with roles (BA/DA/MIS/Operations Analyst). E. Content Development & Quality Build and refresh decks, datasets, solution keys, video snippets, quick reference guides ; maintain multi-difficulty question banks; quarterly updates via feedback loops. F. Collaboration & Administration Coordinate timetables/labs (licenses/connectors/data sources); ensure compliance with institutional policies and data privacy. Submit attendance, assessment analytics, and placement-readiness reports on time. G. Compliance & Ethics Promote ethical data use , citation of sources, fair means in assessments, and zero-plagiarism (plagiarism checks where available). Qualifications & Experience Education: B.E/B.Tech/M.E./M.Tech/BSCS/MCA/M.Sc. (CS/IT/Stats) or MBA (Analytics/Operations/Marketing). Experience: 5–8+ years in analytics roles or corporate/ed-tech training with demonstrable projects and outcomes. Skills: Advanced Excel, strong SQL, Power BI &/or Tableau, statistics for decisions, Python (desirable), data storytelling; evidence of project supervision leading to internships/placements. Key Result Areas (KRA) with KPIs, Targets & Weightage KRA KPI / Measurement Target (Per Semester unless stated) Weight Training Delivery & Coverage Syllabus completion; planned vs delivered hours; average attendance ≥ 95% coverage; ≥ 80% attendance 10% Excel Proficiency Practical labs; dashboard build quality ≥ 75% learners score ≥ 70% + 1 Excel dashboard 8% SQL Proficiency (MySQL) Timed query test (JOINs, window, CTE) ≥ 70% learners score ≥ 70% 12% Power BI Competency Modelling, DAX measures, published report 100% publish 1 PBIX (star schema + ≥ 6 measures) 10% Tableau Competency Dashboard with actions, map, story 100% publish 1 story with actions 6% Python & Data Wrangling Pandas cleaning task; Matplotlib EDA ≥ 70% complete wrangling + 4-chart EDA Applied Statistics & ML A/B or ML case—method & interpretation ≥ 70% score ≥ 70% Project Delivery (Mini & Capstone) On-time submissions; rubric scores; reproducibility 100% submit; ≥ 75% teams score ≥ 70/100 Placement Readiness & Conversion Internal screen pass; company-pattern readiness; outcomes ≥ 75% clear internal screen; yearly : +10% conversion uplift Portfolio & Publication Power BI/Tableau artifacts; GitHub (SQL/Python) ≥ 70% learners with 2+ public artifacts & repo Student Satisfaction (QoS) Module/semester feedback Avg rating ≥ 4.3/5 Content Refresh & Innovation New cases/datasets; updated decks/job-aids 1* new capstone + 10* new problems/semester (or quarterly refresh) Reporting & Stakeholder Collaboration Timely analytics to Dept/Placement; industry talks 100% reports on time; ≥ 2 industry sessions/semester Apply Through email : [email protected] Job Type: Full-time Pay: From ₹800,000.00 per year Benefits: Health insurance Language: English (Preferred) Work Location: In person
Job Description (JD) – Soft Skill Trainer Department: Upskilling & Industry Collaboration Institution: HKBK Group of Institutions (HKBK GI) Position Title: Soft Skill Trainer Employment Type: Full-Time Role Summary The Soft Skill Trainer will play a critical role in preparing students for academic excellence, professional growth, and industry readiness. The faculty will design and deliver structured training programs focusing on Communication, Public Speaking, Confidence Building, Problem-Solving, Design Thinking, and Team Collaboration. The trainer is expected to adopt interactive pedagogies, conduct regular assessments, and mentor students continuously to ensure measurable improvements in employability skills. Key Responsibilities Curriculum Delivery Deliver training modules on Communication Skills, Public Speaking, Confidence Building, Problem-Solving, Design Thinking, and Team Building. Adopt experiential methods including role-plays, case studies, group discussions, and simulations. Ensure completion of module hours (approx. 34 hours per cohort) within stipulated timelines. Continuous Assessment & Growth Tracking · Conduct regular assessments (quizzes, oral presentations, group activities, case-based evaluations) to map continuous student growth. · Maintain detailed student progress records and share periodic reports with the department. · Identify low-performing students and provide remedial support. Mentoring & Employability Readiness · Work closely with students to build confidence, self-awareness, and interpersonal effectiveness. · Provide personalised mentoring and feedback to prepare students for interviews, GDs, and professional networking. · Develop industry-ready competencies aligned with placement expectations. Content Development & Innovation · Develop and update training materials, handouts, and case studies aligned with current industry practices. · Integrate real-world scenarios and corporate practices to improve application-oriented learning. · Introduce innovative activities for each module to enhance engagement. Collaboration & Institutional Alignment · Coordinate with Placement Cell, Faculty, and Industry Partners to align training outcomes with employability goals. · Participate in departmental meetings, strategy sessions, and curriculum design workshops. · Support initiatives such as bootcamps, workshops, and student clubs for skill enhancement. Qualifications & Experience Educational Qualification: · Master’s degree in English, Communication, Psychology, HR, or related fields. · Certification in Soft Skills Training / Corporate Training / NLP / Personality Development preferred. Professional Experience: · Minimum 5+ years of experience in training students or corporate professionals in soft skills. · Proven track record of delivering Communication & Personality Development programs. · Experience in working with higher education institutions or placement-focused training is desirable. Other Requirements: · Excellent verbal and written communication skills. · Strong facilitation and mentoring abilities. · Proficiency in experiential training techniques (role-plays, simulations, workshops). · Passion for working with young students and shaping employable talent. Key Result Areas (KRA) – Soft Skill Trainer KRA Performance Indicators Training Delivery & Completion 100% coverage of all prescribed soft skill modules Minimum 80% student attendance per batch Continuous Assessment & Growth Mapping Minimum 3 structured assessments per semester (oral, written, group-based) At least 70% students show measurable growth (pre- vs post-assessment) Employability & Industry Readiness ≥75% of students demonstrate improved confidence in GDs, interviews, and presentations Documented evidence of skill improvement reflected in placement outcomes Student Engagement & Satisfaction Achieve average student feedback rating ≥4/5 across modules Minimum 2 experiential activities per module (role-plays, team tasks, case studies) Content Development & Innovation Update curriculum every semester with new activities/case studies Design at least 1 new industry-linked workshop annually Collaboration & Reporting Timely submission of attendance, assessment results, and reports Active participation in institutional upskilling initiatives Apply through Mail : [email protected] Job Type: Full-time Pay: From ₹900,000.00 per year Benefits: Health insurance Work Location: In person
JD & KRA — Data Analytics Trainer (Engineering, MBA, BCA, BBA, B.Sc./BCS cohorts) Role Snapshot Field Details Position Title Data Analytics Trainer Department Upskilling & Industry Collaboration Learner Segments Engineering, MBA, BCA, BBA, B.Sc./BCS Core Stack Excel (Adv/Power Query/Power Pivot) , SQL (MySQL) , Power BI (DAX/Modeling) , Tableau , Python (NumPy, Pandas, Matplotlib) , Applied Statistics & ML (intro) , AI-assisted analytics Primary Objectives Build industry-ready analytics capability via project-based learning, continuous assessment, placement alignment, and measurable outcome improvements Role Summary Own end-to-end delivery of a multi-tool analytics curriculum covering Excel, SQL, Power BI, Tableau, Python, Applied Statistics/ML and AI assistants. Design mini/capstone projects and rigorous assignments, run continuous assessments, track each learner’s progress, and collaborate with the Placement Cell to improve tech-round conversions and overall quality. Key Responsibilities (JD) A. Curriculum & Delivery Deliver outcome-oriented modules mapped to programme level (UG/PG/Engineering vs Management depth). Excel (Foundations → Advanced): formatting, functions, raw-data handling, Power Query cleaning & conditional columns, data connectors , Power Pivot (cardinality, cross-filter). Advanced Excel III: Pivot Tables, Charts, Slicers, Measures, Dashboarding . MySQL: syntax, clauses/operators, NULL handling; joins, CASE, GROUP BY, HAVING ; subqueries, UNION/INTERSECT/EXCEPT, stored procedures, CTEs, window functions . Power BI: connectors; Power Query (append/merge, pivot/unpivot), data modelling , DAX (measures vs calculated columns, time-intelligence, cumulative/moving average), publishing & basic RLS; visuals & dashboarding (cards/KPIs/gauges, matrices, slicers) including “ChatGPT-assisted measures” where appropriate. Tableau: data connections; chart suite; sorting/grouping/filtering; colours/labels/tooltips; maps, hierarchies, actions, stories, sharing . Maths & Applied Statistics: descriptive stats, probability, hypothesis testing, A/B testing . Python: basics → functions/modules, pickle, NumPy (stats on arrays), Pandas (clean/merge/concat/join), Matplotlib charts; web scraping (Requests/BeautifulSoup), table extraction, multi-page scraping, basic text analysis . ML (Intro): regression, decision trees, random forests/ensembles; clustering, hierarchical clustering, dimensionality reduction, cross-validation, evaluation metrics/ROC. AI for Analytics: using copilots to generate/debug code, data cleaning, SQL crafting , model-selection support, anomaly detection— with accuracy checks and responsible use . B. Projects, Assignments & Portfolios Mini projects per module (e.g., Excel margin bridge; SQL cohort analysis; Power BI executive dashboard; Tableau churn story; Pandas data-cleaning pipeline). Capstones by domain (retail/fintech/ops/HR/marketing): problem framing → ETL → visuals → insights → recommendations/ROI. Mandate portfolio publishing : Power BI Service/Tableau Public (or screenshots if private) + GitHub (SQL/Python, READMEs). C. Continuous Assessment & Progress Tracking Baseline diagnostic; weekly labs/quizzes; timed SQL/Excel tests; dashboard practicals. Transparent rubrics (data prep, correctness, visual quality, insightfulness, documentation). Maintain progress dashboards (attendance, scores, milestones, risk flags) and run remedial clinics with targeted plans. D. Placement Enablement Map teaching to company patterns (Excel/SQL tests, dashboard tasks, case interviews). Conduct mock case interviews and storytelling drills ; schedule tool sprints before drives; align with roles (BA/DA/MIS/Operations Analyst). E. Content Development & Quality Build and refresh decks, datasets, solution keys, video snippets, quick reference guides ; maintain multi-difficulty question banks; quarterly updates via feedback loops. F. Collaboration & Administration Coordinate timetables/labs (licenses/connectors/data sources); ensure compliance with institutional policies and data privacy. Submit attendance, assessment analytics, and placement-readiness reports on time. G. Compliance & Ethics Promote ethical data use , citation of sources, fair means in assessments, and zero-plagiarism (plagiarism checks where available). Qualifications & Experience Education: B.E/B.Tech/M.E./M.Tech/BSCS/MCA/M.Sc. (CS/IT/Stats) or MBA (Analytics/Operations/Marketing). Experience: 5–8+ years in analytics roles or corporate/ed-tech training with demonstrable projects and outcomes. Skills: Advanced Excel, strong SQL, Power BI &/or Tableau, statistics for decisions, Python (desirable), data storytelling; evidence of project supervision leading to internships/placements. Key Result Areas (KRA) with KPIs, Targets & Weightage KRA KPI / Measurement Target (Per Semester unless stated) Weight Training Delivery & Coverage Syllabus completion; planned vs delivered hours; average attendance ≥ 95% coverage; ≥ 80% attendance 10% Excel Proficiency Practical labs; dashboard build quality ≥ 75% learners score ≥ 70% + 1 Excel dashboard 8% SQL Proficiency (MySQL) Timed query test (JOINs, window, CTE) ≥ 70% learners score ≥ 70% 12% Power BI Competency Modelling, DAX measures, published report 100% publish 1 PBIX (star schema + ≥ 6 measures) 10% Tableau Competency Dashboard with actions, map, story 100% publish 1 story with actions 6% Python & Data Wrangling Pandas cleaning task; Matplotlib EDA ≥ 70% complete wrangling + 4-chart EDA Applied Statistics & ML A/B or ML case—method & interpretation ≥ 70% score ≥ 70% Project Delivery (Mini & Capstone) On-time submissions; rubric scores; reproducibility 100% submit; ≥ 75% teams score ≥ 70/100 Placement Readiness & Conversion Internal screen pass; company-pattern readiness; outcomes ≥ 75% clear internal screen; yearly : +10% conversion uplift Portfolio & Publication Power BI/Tableau artifacts; GitHub (SQL/Python) ≥ 70% learners with 2+ public artifacts & repo Student Satisfaction (QoS) Module/semester feedback Avg rating ≥ 4.3/5 Content Refresh & Innovation New cases/datasets; updated decks/job-aids 1* new capstone + 10* new problems/semester (or quarterly refresh) Reporting & Stakeholder Collaboration Timely analytics to Dept/Placement; industry talks 100% reports on time; ≥ 2 industry sessions/semester Apply Through email : careers1@hkbk.edu.in Job Type: Full-time Pay: From ₹800,000.00 per year Benefits: Health insurance Language: English (Preferred) Work Location: In person
Job Description (JD) – Soft Skill Trainer Department: Upskilling & Industry Collaboration Institution: HKBK Group of Institutions (HKBK GI) Position Title: Soft Skill Trainer Employment Type: Full-Time Role Summary The Soft Skill Trainer will play a critical role in preparing students for academic excellence, professional growth, and industry readiness. The faculty will design and deliver structured training programs focusing on Communication, Public Speaking, Confidence Building, Problem-Solving, Design Thinking, and Team Collaboration. The trainer is expected to adopt interactive pedagogies, conduct regular assessments, and mentor students continuously to ensure measurable improvements in employability skills. Key Responsibilities Curriculum Delivery Deliver training modules on Communication Skills, Public Speaking, Confidence Building, Problem-Solving, Design Thinking, and Team Building. Adopt experiential methods including role-plays, case studies, group discussions, and simulations. Ensure completion of module hours (approx. 34 hours per cohort) within stipulated timelines. Continuous Assessment & Growth Tracking · Conduct regular assessments (quizzes, oral presentations, group activities, case-based evaluations) to map continuous student growth. · Maintain detailed student progress records and share periodic reports with the department. · Identify low-performing students and provide remedial support. Mentoring & Employability Readiness · Work closely with students to build confidence, self-awareness, and interpersonal effectiveness. · Provide personalised mentoring and feedback to prepare students for interviews, GDs, and professional networking. · Develop industry-ready competencies aligned with placement expectations. Content Development & Innovation · Develop and update training materials, handouts, and case studies aligned with current industry practices. · Integrate real-world scenarios and corporate practices to improve application-oriented learning. · Introduce innovative activities for each module to enhance engagement. Collaboration & Institutional Alignment · Coordinate with Placement Cell, Faculty, and Industry Partners to align training outcomes with employability goals. · Participate in departmental meetings, strategy sessions, and curriculum design workshops. · Support initiatives such as bootcamps, workshops, and student clubs for skill enhancement. Qualifications & Experience Educational Qualification: · Master’s degree in English, Communication, Psychology, HR, or related fields. · Certification in Soft Skills Training / Corporate Training / NLP / Personality Development preferred. Professional Experience: · Minimum 5+ years of experience in training students or corporate professionals in soft skills. · Proven track record of delivering Communication & Personality Development programs. · Experience in working with higher education institutions or placement-focused training is desirable. Other Requirements: · Excellent verbal and written communication skills. · Strong facilitation and mentoring abilities. · Proficiency in experiential training techniques (role-plays, simulations, workshops). · Passion for working with young students and shaping employable talent. Key Result Areas (KRA) – Soft Skill Trainer KRA Performance Indicators Training Delivery & Completion 100% coverage of all prescribed soft skill modules Minimum 80% student attendance per batch Continuous Assessment & Growth Mapping Minimum 3 structured assessments per semester (oral, written, group-based) At least 70% students show measurable growth (pre- vs post-assessment) Employability & Industry Readiness ≥75% of students demonstrate improved confidence in GDs, interviews, and presentations Documented evidence of skill improvement reflected in placement outcomes Student Engagement & Satisfaction Achieve average student feedback rating ≥4/5 across modules Minimum 2 experiential activities per module (role-plays, team tasks, case studies) Content Development & Innovation Update curriculum every semester with new activities/case studies Design at least 1 new industry-linked workshop annually Collaboration & Reporting Timely submission of attendance, assessment results, and reports Active participation in institutional upskilling initiatives Apply through Mail : careers1@hkbk.edu.in Job Type: Full-time Pay: From ₹900,000.00 per year Benefits: Health insurance Work Location: In person
JD & KRA — Technical Trainer (Programming Languages: C, C++, Java, Python) Role Snapshot Field Details Position Title Technical Trainer (Programming Language Trainer) Department Upskilling & Industry Collaboration Audience Engineering (CSE/IT/Allied), BCA, B.Sc. (Computer Science) Primary Stack C, C++, Java, Python (with DSA, OOPs, Git/GitHub, Unit Testing, Linux) Objectives Industry-grade coding readiness, project-based learning, continuous assessment, placement support, measurable improvement in quality & outcomes Role Summary Drive end-to-end coding excellence across C, C++, Java and Python through structured modules, labs, and projects. Design mini/capstone projects and rigorous assignments, run continuous assessments, track each student’s progress, and collaborate with the Placement Cell to improve test-to-hire conversion and overall quality. Key Responsibilities (JD) A. Curriculum & Delivery Deliver outcome-oriented modules in C, C++, Java, Python covering syntax → OOP → DSA → problem-solving → debugging → unit testing → version control. Map curriculum to year/degree level (FY → fundamentals; SY → OOP & DSA; TY → advanced topics, frameworks/tooling). Run hands-on labs (IDE setup, CLI, gcc/g++, GDB, Java/JDK, IntelliJ/Eclipse, Python/venv/pytest). Incorporate industry practices : code reviews, pair programming, Git workflows, issue boards, basic Agile ceremonies. B. Projects, Assignments & Portfolios Mini projects per module and semester capstones with clear problem statements, constraints, and evaluation rubrics. Curate domain-themed capstones (e.g., fintech billing engine in Java, IoT sensor logger in C/C++, Python data pipeline, CLI tools, REST stubs). Ensure each student maintains a GitHub portfolio with READMEs, test cases, and CI basics (where feasible). Provide starter kits, datasets, and sample test specs ; emphasise documentation and code quality gates. C. Continuous Assessment & Progress Tracking Establish baseline diagnostics (entry test) and weekly coding sprints (timed challenges on DSA/problem solving). Use a scoring rubric (correctness, complexity, code quality, tests, documentation, version control hygiene). Maintain progress dashboards per student (attendance, scores, attempts, improvements, at-risk flags). Run remedial clinics for low performers; publish fortnightly improvement plans and outcomes. D. Placement Enablement Align with Placement Cell to target coding rounds (MCQs, whiteboard, online judges), company-wise patterns, and mock interviews . Conduct interview drills : problem decomposition, communication of approach, edge-case thinking, trade-offs. Prepare role-ready tracks (e.g., Java developer basics, Python scripting/automation, C/C++ systems fundamentals). Integrate aptitude + technical checkpoints close to drive timelines; support hackathons and coding contests. E. Content Development & Quality Build and continuously refresh slides, labs, problem banks, solution keys , and video snippets for revision. Map outcomes to Bloom’s taxonomy ; maintain question banks at multiple difficulty levels . Collect and act on student feedback every module; run after-action reviews post each placement cycle. F. Collaboration & Administration Coordinate timetables with departments; ensure lab readiness (software/versions/licenses). Submit attendance, assessment analytics, and placement-readiness reports on schedule. Conduct faculty bridges to integrate coding components with course projects and allied lab courses. Qualifications & Experience Education : B.E/B.Tech. M.E./M.Tech(CSE/IT/ECE) or MCA/M.Sc. (CS/IT); higher qualifications preferred. Experience : 5–8+ years in corporate/ed-tech training or as a software engineer with evidence of training/mentoring. Skills : Strong in C, C++, Java, Python , OOP, DSA, debugging, unit testing (JUnit/pytest), Git/GitHub, Linux basics; exposure to build tools (Maven/Gradle), simple REST/JSON, and basic SQL is a plus. Desirables : Recognised certifications (e.g., PCAP/PCPP , OCP Java ), strong coding profiles (GitHub/LeetCode/CodeChef), record of project supervision leading to internships/placements. Key Result Areas (KRA) with Metrics & Weightage KRA KPI / Measurement Target (Per Semester unless stated) Weight Training Delivery & Coverage Syllabus completion across C/C++/Java/Python; planned vs delivered hours; average attendance ≥ 95% coverage; ≥ 80% attendance/batch Continuous Assessment & Learning Gain Number of assessments; pre-/post-test improvement (avg score delta) ≥ 4 graded assessments/module; ≥ +20% average improvement Coding Proficiency (DSA & Problem Solving) Weekly challenge scores; success on online judge sets; complexity awareness ≥ 70% students solve set A*; ≥ 40%* solve set B Project Delivery (Mini & Capstone) On-time submissions; rubric scores; code quality & tests; Git hygiene 100% teams submit; ≥ 75% score ≥ 70/100 ; tests present in ≥ 70% repos Placement Readiness & Conversion Mock interview pass rates; company-pattern readiness; placement outcomes linked to trainer cohorts ≥ 75% students clear internal tech screen; yearly : ≥ +10% uplift in tech-round conversions Remedial Support & Uplift Identified at-risk learners; remedial attendance; uplift post-remediation Identify 100% at-risk; ≥ 80% attend clinics; ≥ 60% show uplift ≥ 15% Student Satisfaction (QoS) Feedback (module/semester) on content, clarity, support Average rating ≥ 4.2/5 Content Development & Refresh New problems/caselets; updated decks; recordings/job-aids ≥ 1 fresh mini project + 10 new problems/semester; quarterly content refresh Stakeholder Collaboration & Reporting Timely reports to Department & Placement Cell; industry connects 100% reports on time; ≥ 2 industry sessions/semester Apply through mail : careers1@hkbk.edu.in Job Type: Full-time Pay: From ₹900,000.00 per year Benefits: Health insurance Work Location: In person