Technical trainer

Job details: Fresher/Experience.

Pay Scale : As per Norms.

Location: Saravanampatti, Coimbatore.

Core Qualifications

• Educational Background: A Bachelor’s and Master’s degree in Computer Science, IT, or a related engineering field.
• Eligibility Exams: Clearing the UGC-NET (National Eligibility Test) or SLET/SET (State Level Eligibility Test) is a standard requirement in India.
• Ph.D. Requirement: A Doctorate is often required for long-term career progression and is mandatory for certain university-level appointments as per UGC norms.

1. Programming and Coding Languages

• Core Languages:
• Python – General-purpose, easy-to-learn, popular for data science, web development, automation, etc.
• JavaScript – Essential for web development (both frontend and backend).
• Java – Widely used in enterprise applications, Android development.
• C/C++ – Great for systems programming, high-performance computing.

Role Overview

We are looking for a passionate Computer Science Faculty to train and mentor students in computer

science concepts and practical applications while helping them develop industry-relevant technical skills.

Key Responsibilities

• Conduct hands-on practical training sessions in Computer Science.

• Explain programming and technical concepts through practical applications.

• Conduct coding exercises, assignments, projects, and assessments.

• Monitor student attendance, assessment scores, assignment performance, and learning progress.

• Provide continuous technical mentoring and guidance.

• Help students develop industry-relevant technical skills.

• Assist students in obtaining certifications in high-demand technologies.

• Support students in securing internships and provide continuous guidance.

• Keep students updated with relevant industry trends and technologies.

• Ensure students achieve periodic learning targets and outcomes.

• Work effectively in a corporate-style training environment.

Preferred Candidates

• Prior Computer Science teaching/training experience preferred.

• Strong technical and programming knowledge.

• Strong communication and presentation skills.

• Good classroom management skills.

• Passion for teaching and mentoring students.

• Immediate joiners preferred

Qualification

• PG qualification in Computer Science

• UGC NET/SET in Computer Science OR completed PhD in Computer Science / relevant specialization

Data Science (SME)

FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.

● Worked with 2,000+ colleges and universities across India

● Trained 6+ million students across disciplines

● Market leaders in:

● Employability skills & placement readiness

● Industry-aligned academic papers(credit-bearing)

● Full-scale industry-aligned degree programs with universities

● Pan-India operations, headquartered in Coimbatore

● Young, energetic, mission-driven team

● Fast-growing organization with headcount expected to cross 1,000 employees in the next financial year

At FACE Prep, people are the platform on which outcomes are built.

Position: Data Science (SME)

Location: Coimbatore

Duration: Full-Time

Department: Training & Development

Experience: Minimum 2 Years

Role Description :

The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.

Requirements:

• Strong foundation in Statistics and Data Science, with the ability to explain complex concepts clearly and practically.

• Hands-on experience in Data Analytics and Data Analysis, including working with real-world datasets and deriving actionable insights.

• Excellent Analytical Skills for problem-solving, designing assignments, and guiding learners through data-driven decision-making.

• Proficiency in common data science tools and languages (e.g., Python/R, SQL, data visualization tools such as Tableau/Power BI).

• Prior experience in teaching, mentoring, corporate training, or curriculum development is highly beneficial.

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or related discipline.

• Ability to communicate effectively with diverse learner groups and collaborate within a multidisciplinary team.

• Exposure to machine learning concepts, model evaluation, and deployment practices is a plus.

IMMEDIATE JOINERS REQUIRED

We are seeking an experienced MERN Stack Trainer with a strong passion for teaching and hands-on industry exposure. The ideal candidate will have a minimum of 2 years of training experience and deep expertise in JavaScript, React.js, Node.js, and MySQL, with the ability to train learners through real-world projects and practical assignments.

Require solid understanding of:

• RESTful APIs
• MVC / modular architecture
• Authentication & authorization (JWT, sessions)
• Git and version control workflows

Roles and Responsibilities

•Deliver training sessions on Quantitative Aptitude, Logical Reasoning, Verbal Ability, and Analytical Skills soft skill is mandatory

•Prepare students for campus placements, competitive examinations, and aptitude assessments.

•Design and develop training materials, assignments, mock tests, and practice exercises.

•Assess student performance and provide constructive feedback for improvement.

•Conduct doubt-clearing sessions and mentor students to achieve their career goals.

•Track student progress and submit periodic reports.

•Collaborate with academic and placement teams to ensure training effectiveness.

•Stay updated with the latest aptitude test patterns and industry requirements.

Required Skills

•Strong knowledge of Quantitative Aptitude, Logical Reasoning, and Verbal Ability and soft skill is mandatory

•Excellent communication and presentation skills.

•Ability to engage and motivate students.

•Strong problem-solving and analytical skills.

•Proficiency in MS Office and online training platforms.

Eligibility Criteria

•Prior training or teaching experience is preferred.

Compensation

•As per company standards and candidate experience.

Preferred Candidates

•Passionate about teaching and mentoring students.

•Strong interpersonal and classroom management skills.

•Immediate joiners are preferred.

Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.   

As an Instructional Design Apprentice, you will provide support in creating a broad range of creative materials including documents, presentations, eLearnings, newsletters, flyers, videos, and other media to assist our training team. 

Cybersecurity Trainer – Job Description

Job Title: Cybersecurity Trainer

Job Summary:

We are seeking a knowledgeable and passionate Cybersecurity Trainer to deliver training programs on cybersecurity concepts, tools, and best practices. The ideal candidate will be responsible for educating students, professionals, or employees on various cybersecurity topics through engaging theoretical and practical sessions.

Key Responsibilities:

• Conduct training sessions on cybersecurity fundamentals and advanced security concepts.
• Deliver courses on Network Security, Ethical Hacking, Information Security, Risk Management, and Cyber Threats.
• Develop training materials, presentations, assignments, and lab exercises.
• Organize hands-on workshops and practical cybersecurity labs.
• Assess learner performance and provide feedback and guidance.
• Stay updated with the latest cybersecurity trends, threats, and technologies.
• Support learners in understanding security tools and industry best practices.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
• Relevant experience in cybersecurity and training.
• Strong communication, presentation, and teaching skills.
• Industry certifications such as CEH, CompTIA Security+, CISSP, or equivalent are preferred.

Required Skills:

• Network Security
• Ethical Hacking
• Vulnerability Assessment
• Incident Response
• Risk Management
• Security Awareness Training
• Presentation and Training Skills

Experience: 1–5 years (or as required)

Employment Type: Full-Time / Part-Time / Contract

Location: [thrissur]

We are looking for a Software Developer to design, develop, test, and maintain reliable software applications. The ideal candidate should have strong programming fundamentals, problem-solving skills, and an interest in building scalable technology solutions.

Key Responsibilities

• Develop, test, debug, and maintain software applications.
• Write clean, efficient, and reusable code.
• Work with frontend, backend, databases, and APIs as required.
• Identify and resolve technical issues and software bugs.
• Collaborate with developers, designers, and other team members.
• Participate in code reviews and software testing.
• Maintain technical documentation.
• Learn and implement new technologies based on project requirements.

Required Skills

• Programming knowledge in Java, Python, JavaScript, C++, C#, or similar languages.
• Understanding of Data Structures, Algorithms, OOP, and DBMS.
• Familiarity with SQL and databases.
• Basic understanding of REST APIs, Git/GitHub, and software development practices.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

Job Title: Associate Professor – Computer Science Engineering (CSE)

Department: CSE

Job Summary:

The Associate Professor (CSE) is responsible for teaching core computer science subjects, training students in programming and emerging technologies, and contributing to research and academic excellence.

Key Responsibilities:

• Teach subjects like Data Structures, Algorithms, DBMS, Operating Systems, and Programming Languages
• Train students in coding, software development, and industry-relevant skills
• Conduct lab sessions, workshops, and technical training programs
• Evaluate students through exams, assignments, and projects
• Guide students in internships, mini-projects, and final-year projects
• Participate in curriculum development and research activities

Qualifications:

• M.E./M.Tech in Computer Science or related field
• Ph.D. (preferred)
• NET/SET (if applicable)

Skills Required:

• Strong programming knowledge (Java, Python, C++, etc.)
• Teaching and technical training skills
• Knowledge of latest technologies (AI, Data Science, Cloud, etc.)
• Research and analytical skills

Experience:

• 3–8 years of teaching/industry experience

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1-5Years

CTC: 6-10 LPA

No Freshers

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

The role

Zeuron.ai is looking for hands-on software engineers who can turn an incomplete brief into reliable, usable software. You will work as an individual contributor, make sound technical decisions and take responsibility for the quality of what you deliver.

AI coding tools will be part of the workflow. We expect you to understand the underlying software well enough to build and debug without an LLM, then use AI to accelerate implementation, exploration and verification. You remain accountable for the result.

What you will own

• End-to-end delivery: clarify requirements, break work into achievable steps, implement features, test them, deploy them and respond to issues after release.

• Product decisions: understand the user problem, question unclear requirements and explain trade-offs between speed, quality, complexity and maintainability.

• Reliable software: investigate defects, identify root causes and improve error handling, performance and usability.

• Engineering continuity: maintain readable code, useful documentation and clear handovers so that others can run, understand and extend your work.

Engineering expectations

We value demonstrated building ability, technical reasoning and sound judgement. Tool familiarity should be supported by evidence of software you have actually delivered.

Software fundamentals

• Programming: practical fluency in at least one programming language, with an understanding of data structures, control flow, modularity and common complexity trade-offs.

• Applications and services: understand how interfaces, APIs, business logic and data storage interact. Be able to trace a failure across these boundaries.

• Data: work with databases, reason about data models and queries, and handle validation, consistency and errors appropriately.

• Development workflow: use Git confidently, review changes, manage dependencies and keep development and deployment instructions reproducible.

• Testing and debugging: reproduce failures, form hypotheses, inspect logs and isolate causes. Test important behaviour and edge cases rather than relying on a successful demo.

• Security and reliability: recognise basic risks around authentication, access control, secrets, input handling and third-party dependencies.

Build independently. Use AI effectively.

• Without LLMs: write and modify code, diagnose defects, explain design choices and use documentation to solve unfamiliar problems independently.

• With AI coding tools: frame tasks clearly, supply relevant context, use generated suggestions selectively and inspect the resulting changes.

• Verify before accepting: check correctness, integration, security and maintainability. Recognise invented APIs, fragile assumptions and plausible-looking code that does not solve the actual problem.

• Protect information: use approved tools and handle credentials, proprietary code and user data responsibly.

Evidence we want to discuss

Be prepared to walk through a project you contributed to: the problem, your specific contribution, important technical decisions, a difficult bug and how you verified the result. Public repositories or demos are useful where available; do not share confidential material from previous employers.

Ownership, growth & applying

How you will work

• Act as an owner: follow through on agreed deliverables, raise blockers early and communicate progress with concrete evidence.

• Work with the team: collaborate with product and engineering colleagues, accept review constructively and explain technical choices clearly.

• Learn with purpose: pick up unfamiliar tools when the problem requires them, while keeping the solution proportionate to the need.

• Grow through contribution: begin with hands-on individual-contributor responsibility, with potential to take on broader product or team responsibility as delivery, judgement and collaboration develop.

What strong performance looks like

Working features that meet agreed requirements; clear reasoning about implementation; defects investigated systematically; code that others can maintain; and AI-assisted work whose quality you can explain and verify.

Eligibility and compensation

Experience: 1-5 years of hands-on software development experience only.

Freshers are not considered.

Locations: Bengaluru and Belagavi.

Annual CTC : 6-10 LPA

The offer will depend on experience, interview performance and growth potential.

What to expect in the assessment

Be prepared for a discussion of your previous work, a practical coding or debugging task without LLM assistance, and an assessment of how you use AI coding tools and verify their output. We will also discuss product judgement, ownership and collaboration.