The applicant should have hands-on expertise in Data Analytics, Statistical Data Analysis. The applicant should have proficiency in Python and/or R Proficiency in Machine Learning, Deep Learning, Statistics, and Linear Algebra would be added advantage The expertise in Power BI and advanced Excel will also be preferable The applicant should have good communication and presentation skills Candidates should have 3-7 years of industry experience. Freshers Need Not Apply Immediate Joining Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Engineering or equivalent experience 3 - 4 years' Data Analysis experience Proficient in Python and/or R
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 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&aposre 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&aposs 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 Show more Show less
Job Description: Academic Lead (Full-Time) Location: Rajkot, Gujarat Reporting to: Academic Head / Dean / Class Representative Employment Type: Full-time, On-site (Rajkot) Role Summary We are looking for a Lead Academic to drive academic excellence, strengthen teaching-learning processes, and lead institutional academic documentation - especially NAAC readiness and compliance. The role involves supervising and mentoring a team of 6 - 7 trainers, improving pedagogy, ensuring quality of course delivery, and reviewing academic documentation (course files, lesson plans, assessments, and reports) before final submission. Key Responsibilities 1. Academic Leadership & Team Supervision Supervise and mentor a team of 6 - 7 trainers/faculty members across UG/PG programs. Provide guidance on teaching pedagogy , classroom engagement strategies, and outcome-based learning practices. Conduct regular academic reviews, one-on-one mentoring, and performance feedback sessions. Support trainers in improving lesson delivery, assessment design, and student learning outcomes. 2. Academic Quality & Process Improvement Establish and monitor academic processes such as lesson planning, course delivery tracking, evaluation practices, and continuous improvement. Drive academic excellence through standardization of course files, rubrics, lab manuals, and documentation formats. Coordinate academic audits and ensure compliance with institutional standards and timelines. Identify gaps and implement corrective actions to strengthen academic operations. 3. Documentation & Accreditation Support Lead and coordinate documentation processes across relevant criteria and departments. Ensure proper maintenance of academic evidence: course files, attendance records, assessment documents, feedback forms, MoMs, and activity reports. Prepare, review, and validate documents and supporting proofs prior to submission to the department/committee. Train the academic team on documentation best practices, evidence collection, and audit preparedness. 4. Curriculum Support & Delivery Enhancement Support curriculum planning and mapping (where applicable): learning outcomes, CO-PO/PSO mapping (for engineering), and outcome alignment. Review assessment tools (question papers, assignments, projects) for quality, relevance, and appropriate difficulty level. Promote best practices such as active learning, project-based learning, case methods, and blended learning. 5. Reporting, Coordination & Stakeholder Management Coordinate with department heads/administration for academic planning, reporting, and compliance updates. Prepare academic reports/dashboards: trainer performance, course progress, documentation status, audit findings. Ensure timely submission of academic documents to the concerned departments and compliance teams. 6. Additional Responsibilities Drive student feedback collection and action plans to enhance learning experience. Support institutional events, academic committees, and internal quality assurance activities (IQAC-related tasks). Eligibility Criteria Education M.Tech, MBA, MCA or PhD in any discipline from a recognized institution/university. Experience Minimum 5 years of academic experience in teaching UG/PG programs in any of the following domains: Engineering (Civil, Mechanical, Electrical, etc.) Management (BBA/MBA) Computer/Computing Applications (BCA/MCA) Experience must be with a recognized university/institution. Mandatory Skills Strong knowledge and hands-on experience with NAAC documentation processes and evidence management. Ability to review and improve course files, teaching plans, assessments, and academic reports Proven capability to lead and mentor a team of trainers/faculty.