Role & responsibilities Training Delivery Deliver engaging and informative lectures and workshops both online and offline. Adapt teaching strategies based on the mode of delivery and student feedback. Use a combination of classroom teaching, presentations, simulations, and physical demonstrations. Supervise students during lab-based practicals, ensuring adherence to safety procedures and effective learning outcomes. Student Mentoring and Evaluation Design and administer assessments, case studies, and project work to evaluate student understanding and application of course materials. Provide one-on-one mentoring to students on their projects to tackle real-world scenarios. Offer mentoring to help students refine their projects and make them more competitive in the job market. Handle all program related concerns of the students. Provide constructive feedback on student performance and help with job-readiness preparation Content Development Research and integrate the latest resources, tools, and case studies into the curriculum. Develop new content that reflects advances in technology and sustainability. Office Tools Utilize a strong understanding of Microsoft Office tools (Word, Excel, PowerPoint, Outlook) to teach students practical applications relevant to their professional roles. • Integrate Office tools into training activities to enhance students' technical proficiency and productivity. Reports Maintain accurate and comprehensive records of student progress, course updates, and teaching materials. Regular reports submitted to all relevant stakeholders and program management and plans for upcoming workshop/training Identify success stories in the region and will make them available, in a timely manner, to the top management for the showcase. Technical Skills • Strong Python programming skills and familiarity with AI-related libraries (NumPy, Pandas, Matplotlib, seaborn, Scikit-learn). • Practical Hand on Experience on Machine Learning, Deep Learning Frameworks (TensorFlow, Keras, PyTorch). • Desirable experience with Green Technologies like Renewable Energy Systems, environmental sensing technologies, resource management and other related field including their design, implementation, and optimization using AI. • Knowledge of Generative AI, Large language models and their applications. • Skills to work effectively in multidisciplinary teams, often necessary in projects that integrate AI and environmental science, and ability to communicate complex concepts to non-experts. • Understanding the ethical implications of technological interventions in natural systems and the social impacts of deploying new technologies. Soft Skills • Excellent communication and instructional skills. • Ability to explain technical topics in a depth and engaging manner, suitable for Engineering level learners. • Strong classroom management skills and patience when dealing with learners from diverse backgrounds. • Proficiency in local language • Good verbal and written communication skills • Advanced knowledge of MS Excel and Power BI Desktop, Service, Power Preferred Qualifications (Preferred but Not Mandatory) • Certification in Artificial Intelligent, Machine Learning, Data Science, Generative AI, Deep Learning, Python Programming, Big data Prior experience as a trainer or Professor, Assistant Professor in Degree Engineering College. AI/ML Trainer or Relevant Experience
ROLES & RESPONSIBILITIES Develop course outline, agenda and curate course content for developing end to end solutions using deep tech for industry 4.0. Deliver 360-degree experiential learning based technical skill development programs, including but not limited to Advanced Data Structure & Algorithms, Data analysis, Artificial intelligence and statistical modeling. Own the end-to-end designing and development of high quality cohesive technical manuals and handbooks for learners around IR4.0 technologies focusing on Algorithm development & analysis, Data Analytics, Database handling, Artificial Intelligence & Generative model development. Skill transferring sessions for internal and external stake holders and beneficiaries' by practicing highest level of engagement through instructor-led training (ILD) and Virtual instructor led training programs. Guiding and mentoring learners to develop community and industrial solutions using deep technology and tools like Advanced data structures, Data Analytics, AI, Machine Learning, Edge Computing and SAP Tools. Helping learners to identify real life problems, potential users, their pain points and propose a viable solution by developing a prototype. Delivery Quality Training based on Content Build, maintain and drive relationships with clients and end beneficiaries, coordinate training logistics with the local coordinator. Collect regular feedback from the participants about the content, impact and the pedagogy what they are able to assimilate and what needs to be improved. Apply experience and knowledge in solving technical problems that are complex in scope requiring in-depth evaluation. Project development, content delivery products including designing and implementing the front-end as well as back-end. She/he will identify success stories in the region and will make them available, in a timely manner, to the top management for the showcase. This will be done in active consultation with the Program Manager for the territory. LOCATION & TRAVEL Travelling as per business plan (Inter/intracity) Qualification and Experience M.Tech/M.E in a field related to information technology Computer science, Information Technology, CS AI/ML, or Specialization in AI/ML Freshers with good understanding and project experience in domain of Advanced Data Structure & Algorithm, Data Analytics, Database management, Machine Learning, Deep learning & Generative AI. Exposure to Competitive Coding platforms and problem solving will be preferred. Skills & Attributes Understanding of Advanced Data Structure & Alogrithms. Strong hands-on experience in Python programming, database management, data analytics, modeling the AI/ML based solutions, statistical modeling tools & packages like NumPy, Pandas, Matplotlib and ScikitLearn, etc. Good understanding of Deep learning concepts, deep neural networks building, training deployment using python, Tensorflow and Keras. Experience in developing computer vision application Using open CV and optimizing the neural model for Edge applications. Working knowledge of ERP tools like SAP ABAP and SAP Analytics Cloud Experience in delivering and developing content/training material around deep is desirable. Experience in handling technical projects, product development, mentoring, project innovation and guiding technical projects will be a plus point Candidate should be ready to travel as per work requirement. Highly motivated, self-driven and a desire to be a lifetime learner Excellent analytical and multitasking skills Excellent communication and presentation skills Experience in identifying assessment metrics and tracking of tangible gains ensuring the last-mile reach Maintain records, document thoroughly and generate program reports. We also expect the incumbent to be highly ethical with highest levels of integrity.
We require a Trainer who will provide practical, hands-on, in the field of Green Skills, EV, and Green Hydrogen. The trainer will be mainly responsible for training students with industry-related skills in green technologies such as electric mobility, renewable energy, and green hydrogen applications. The trainer should have a technical background in green technologies like EV systems, battery packs, charging infrastructure, and basics of green hydrogen (production, storage, and safety) along with the capability to break down complicated subjects for vocational students. The trainer will have to deliver instructor-led class and lab instruction, guide students through interactive projects, and assist them in gaining technical and digital competencies in order to cope with the green economy in progress. Apart from training delivery, the trainer will work with , laboratory staff, and external stakeholders in organizing training sessions, arranging practical sessions, ensuring safety measures, and monitoring immediate student assessment and reporting.
Role & responsibilities 1. Training Delivery: Conduct in-person, hands-on training on web development, Applied Software Engineering, Database Management, Agile Development and Scrum. Demonstrate the Use of Development Tools, like Python Programming, Git and GitHub, SAP ABAP 2. Practical Skills Development: Ensure students Perform all Lab Practicals and Compete all Courses as Per the Schedule. Evaluate Students Performance based on Self-Paced Course Learning Outcomes & Capstone Project on Learning Outcomes. 3. Managing Students Learning Progress: Master Trainer will Be responsible to track the Learners Progress on Daily/weekly basis. Ensure Active Students Participation in all Activities Expert Session, Webinar, Workshop, Industrial Visit, Volunteer Session. Track Students Learning Journey and Help them to complete All Learning. 4. Curriculum Development & Enhancement: Contribute to the development and refinement of the Learning curriculum to keep pace with the latest industry developments and technologies. Design practical exercises that simulate real-world challenges, helping students apply theoretical concepts. 5. Assessment & Feedback: Conduct assessments to evaluate student progress, ensuring they understand both theoretical knowledge and practical applications of Development Tools. Provide constructive feedback to students on their performance and areas for improvement. Collaborate with other trainers and the program management team to continuously improve the quality of the training. 6. Industry Engagement: Stay updated on the latest trends and technologies in SAP and Software industries to ensure relevant and up-to-date training delivery. Liaise with industry experts and local businesses to align training content with industry needs and job market requirements. 7. Reporting & Documentation: Maintain accurate training records, including student attendance, progress reports, and assessment results. Report to the program manager on training effectiveness, student engagement, and any challenges faced during training sessions. Preferred candidate profile • Eligibility : B.Tech / M.Tech in Computer Science/Computer Engineering/ Electronics/ MCA/ Information Technology or Relevant Domain with preferable experience of 2-4 years in delivering practical training. Technical Expertise: Strong knowledge Python Programming, Web Development, Software Engineering, Software Testing, Linux, GitHub, SAP ABAP, SAP S/4 HANA. Microsoft 365, Communication Skills, Leadership skills. • Training Experience: Previous experience in delivering technical training, preferably in software industries. • Communication Skills: Ability to explain complex technical concepts in a simple, practical manner suitable for students. • Adaptability : Willingness to travel • Certification : Applied Software Engineering Fundamentals | Coursera Software Testing and Automation | Coursera SAP Technology Consultant Professional Certificate | Coursera Learning the Basics of ABAP Programming on SAP BTP Acquiring Core ABAP Skills
Role & responsibilities 1. Training Delivery: Conduct in-person, hands-on training on Data Analytics using various Tools, Python Programming, Demonstrate the Use of various data Analytics Tools like, Python, Excel, Power BI, Tableau, SAP Analytics Cloud, Google Analytics, AI 2. Practical Skills Development: Ensure students Perform all Lab Practicals and Compete all Courses as Per the Schedule. Evaluate Students Performance based on Self-Paced Course Learning Outcomes & Capstone Project on Learning Outcomes. 3. Managing Students Learning Progress: Master Trainer will Be responsible to track the Learners Progress on Daily/weekly basis. Ensure Active Students Participation in all Activities Expert Session, Webinar, Workshop, Industrial Visit, Volunteer Session. Track Students Learning Journey and Help them to complete All Learning. 4. Curriculum Development & Enhancement: Contribute to the development and refinement of the Learning curriculum to keep pace with the latest industry developments and technologies. Design practical exercises that simulate real-world challenges, helping students apply theoretical concepts. 5. Assessment & Feedback: Conduct assessments to evaluate student progress, ensuring they understand both theoretical knowledge and practical applications of Development Tools. Provide constructive feedback to students on their performance and areas for improvement. Collaborate with other trainers and the program management team to continuously improve the quality of the training. 6. Industry Engagement: Stay updated on the latest trends and technologies in SAP and Software industries to ensure relevant and up-to-date training delivery. Liaise with industry experts and local businesses to align training content with industry needs and job market requirements. 7. Reporting & Documentation: Maintain accurate training records, including student attendance, progress reports, and assessment results. Report to the program manager on training effectiveness, student engagement, and any challenges faced during training sessions. Preferred candidate profile • Eligibility : B.Tech / M.Tech in Computer Science/Computer Engineering/ Electronics/ MCA/ Information Technology or Relevant Domain with preferable experience of 2-4 years in delivering practical training. • Technical Expertise: o Strong knowledge Python Programming, Data Analytics, Artificial Intelligent, Power BI, Excel, SAP Analytics Cloud, Machine Learning o Microsoft 365, Communication Skills, Leadership skills. • Training Experience : Previous experience in delivering technical training, preferably in AI/ML or Data Analytics Domain • Communication Skills : Ability to explain complex technical concepts in a simple, practical manner suitable for students. • Adaptability : Willingness to travel (Mandatory) • Certification : SAP Analytics Cloud, Data Science, Data Analytics, Machine Learning, Generative AI, Any other SAP Technology