Job Summary: We are seeking an experienced Cyber Security Trainer to join our team. The ideal candidate will have a solid background in cybersecurity principles and practices, combined with a passion for teaching and helping students understand complex cybersecurity concepts. You will be responsible for delivering high-quality training sessions and supporting students as they develop skills essential to succeed in the cybersecurity field. Key Responsibilities: Deliver engaging and interactive training sessions on cybersecurity topics, including but not limited to network security, threat analysis, malware protection, digital forensic, and ethical hacking. Develop and update course materials, including presentations, handouts, and online resources, to reflect the latest cybersecurity trends and practices. Conduct hands-on labs and exercises to help students gain practical experience with cybersecurity tools and techniques. Assess students' understanding and progress through evaluations, assignments, and feedback sessions. Stay updated with the latest cybersecurity developments and incorporate new knowledge into training programs. Support and mentor students as they navigate their learning journey, answering questions, and providing guidance on cybersecurity career paths. Qualifications: Bachelors degree in Technology (BTech) or a Master’s in Computer Applications (MCA), or a Master's degree in Technology (MTech) 2-3 years of experience in cybersecurity or a related field, with proven knowledge of current cybersecurity threats, tools, and practices. Previous experience in teaching, training, or mentoring is highly desirable. Excellent communication skills, with the ability to simplify complex topics and engage a diverse audience. Strong knowledge of cybersecurity tools and technologies, such as firewalls, intrusion detection systems, SIEM, and vulnerability assessment tools. Preferred Skills: Relevant certifications in cybersecurity, such as CompTIA Security+, CISSP, CEH, or similar. Familiarity with e-learning platforms and digital training tools. Strong problem-solving skills and adaptability to different learning styles. Why Join Us: Opportunity to make a meaningful impact on the next generation of cybersecurity professionals. Collaborative and supportive work environment. Access to continuous learning and professional development opportunities.

Job Summary We are looking for an experienced Placement Officer who can drive job and internship opportunities for our students. The ideal candidate should have a strong network within the HR & corporate community, especially in Bengaluru and Hyderabad, and extensive experience as a Training & Placement Officer in a leading university or educational institution in India . We offer the best-in-industry salary for the right candidate, along with performance-based incentives. Key Responsibilities Build and maintain strong relationships with HR leaders, recruiters, and hiring managers across industries. Secure internship and full-time job opportunities for students in AI, ML, LLM, Data Science, Business Analytics, and Cyber Security domains. Develop strategic partnerships with startups, MNCs, and IT companies in Bengaluru to ensure maximum hiring. Organize campus recruitment drives, career fairs, and networking events . Guide students on resume building, interview preparation, and career planning . Stay updated with industry hiring trends to optimize placement strategies. Collaborate with industry partners for guest lectures, expert sessions, and mentorship programs . Qualifications & Experience 8+ years of experience in training & placements in a reputed university/educational institution. Strong HR and recruiter network, especially in Bengaluru , with proven industry relationships. Demonstrated success in placing students in top-tier companies . Exceptional networking, communication, and relationship-building skills . Ability to organize large-scale recruitment drives, workshops, and career programs . Passion for mentoring students and helping them achieve career success. Key Skills for Placement Officer Bengaluru 1 Industry Networking & Relationship Building Strong connections with HR leaders, recruiters, and hiring managers in top companies. Ability to develop corporate partnerships for job and internship placements. 2 Campus Recruitment & Placement Management Experience in organizing large-scale placement drives and career fairs. Knowledge of corporate hiring trends in AI, ML, Data Science, Business Analytics, and Cyber Security. 3 Strategic Planning & Execution Ability to design and execute placement strategies to maximize hiring opportunities. Understanding of job market demands and aligning student skills accordingly. 4 Career Guidance & Student Mentorship Expertise in resume building, interview preparation, and soft skills training . Capability to assess student skills and match them with suitable job roles. 5 Communication & Negotiation Strong verbal and written communication skills to interact with corporates and students. Ability to negotiate hiring terms with companies for better job opportunities. 6 Event & Relationship Management Organizing guest lectures, expert talks, and networking events with industry leaders. Engaging alumni networks to create more placement opportunities. 7 Data & Reporting Skills Maintaining placement records, tracking student progress, and preparing reports . Using data-driven insights to improve placement success rates . 8 Understanding of AI, ML & Emerging Technologies (Preferred but not mandatory) Familiarity with the job roles, industry requirements, and hiring trends in AI, ML, LLM, Data Science, Business Analytics, and Cyber Security. Why Join Us? Best-in-industry salary with attractive performance-based incentives. Opportunity to work with a fast-growing company in AI, ML & emerging technologies . Expansive industry collaborations to boost your professional network. Dynamic and innovative work environment focused on cutting-edge tech education. About Us Samatrix Consulting Pvt. Ltd. is a leading provider of AI, ML, Large Language Models (LLM), Data Science, Business Analytics, and Cyber Security courses for undergraduate, post graduate students, and Industry professionals . Our goal is to equip students with cutting-edge skills and ensure their successful transition into the industry. If you have a strong HR network , expertise in student placements , and a passion for bridging the gap between academia and industry , we would love to hear from you!

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Job Summary: We are seeking an experienced and proactive Academic Administrator with a strong teaching background in Computer Science and a thorough understanding of NAAC documentation and academic processes. The ideal candidate will be responsible for overseeing classroom content delivery, supporting the academic team with timely feedback and guidance, and ensuring the completion of academic records and quality documentation as per regulatory norms. Key Responsibilities: Monitor and evaluate the quality of academic content delivery in Computer Science programs. Provide academic guidance, mentorship, and constructive feedback to faculty members. Review lecture plans, course files, and assessment methods to align with program objectives. Ensure timely completion and maintenance of academic documentation as per NAAC and university guidelines. Coordinate academic audits and prepare reports required for accreditations and internal quality checks. Conduct regular classroom observations and support continuous improvement in teaching methods. Liaise with academic leadership and internal quality assurance cell (IQAC) for compliance-related activities. Facilitate training and upskilling sessions for faculty in pedagogy and documentation practices. Track course progress, student engagement, and faculty performance indicators. Contribute to curriculum development and innovation initiatives within the department. Qualifications: Masters or Ph.D. in Computer Science or a related discipline from a recognized university. Minimum 5 years of teaching experience at the university or higher education level. Prior experience in academic administration and knowledge of NAAC accreditation requirements is essential. Excellent organizational, interpersonal, and communication skills. Proficiency in academic documentation, data handling, and Microsoft Office/Google Workspace tools. Preferred Skills: Familiarity with Learning Management Systems (LMS) and Outcome-Based Education (OBE). Experience in academic quality audits and institutional data preparation. Strong ability to work collaboratively with faculty teams and academic committees.