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2 Job openings at Kapil Knowledge Hub
Full Stack Python Trainer hyderabad, bengaluru 2 - 6 years INR 1.0 - 5.0 Lacs P.A. Work from Office Full Time

Job Title: Full Stack Python Trainer Organization Name : TeksAcademy Location : Hyderabad Job Type : Full-Time (On-site) Experience: 1 to 6yrs Anitha HR: 6304153714 Job Description: We are seeking a highly skilled and experienced Full Stack Python Trainer to join our team. The ideal candidate will have a strong background in Python development, with extensive knowledge of both front-end and back-end technologies. As a Full Stack Python Trainer, you will be responsible for delivering engaging and effective training programs to individuals and groups, helping them to develop the skills needed to excel in the field of full stack development. Key Responsibilities: Training Delivery: Develop and deliver comprehensive training programs on Python programming, full stack development, and related technologies. This includes creating lesson plans, instructional materials, and hands-on exercises. Curriculum Development: Design and update course content to ensure it aligns with industry standards and best practices. Tailor training materials to meet the needs of diverse learner groups, from beginners to advanced students. Mentorship: Provide one-on-one mentorship and support to learners, addressing their questions and challenges as they progress through the training program. Assessment and Feedback: Develop assessments to evaluate learner progress and understanding. Provide constructive feedback and guidance to help learners improve their skills. Stay Current: Keep up-to-date with the latest trends, tools, and technologies in the field of Python development and full stack programming. Integrate new techniques and methodologies into training programs as appropriate. Collaboration: Work closely with other trainers, instructional designers, and industry experts to enhance the training curriculum and ensure its relevance. Technical Support: Assist learners with troubleshooting and resolving technical issues related to course exercises and projects. Performance Tracking: Monitor and report on learner performance and program effectiveness. Identify areas for improvement and implement necessary changes to enhance the training experience. Qualifications: Experience: Proven experience as a Full Stack Developer with a deep understanding of Python and related frameworks (e.g., Django, Flask). Demonstrated experience in training or teaching roles is highly desirable. Education: Any Graduate/Any Post Graduate Technical Skills: Proficiency in Python, front-end technologies (HTML, CSS, JavaScript), and back-end frameworks. Experience with databases (SQL, NoSQL) and version control systems (e.g., Git). Teaching Skills: Strong instructional skills with the ability to explain complex concepts in a clear and engaging manner. Experience in developing and delivering training materials. Communication: Excellent verbal and written communication skills. Ability to interact effectively with learners, colleagues, and stakeholders. Adaptability: Ability to adapt training methods to different learning styles and skill levels. Flexible and open to incorporating feedback to improve training programs. Problem-Solving: Strong analytical and problem-solving skills with a focus on helping learners overcome technical challenges. Preferred Skills: Experience with additional programming languages and technologies (e.g., JavaScript frameworks, DevOps tools). Prior experience working in a corporate training environment or with professional development programs. Familiarity with e-learning platforms and tools.

Data Science Trainer hyderabad, bengaluru 2 - 5 years INR 1.0 - 5.0 Lacs P.A. Work from Office Full Time

Position Title : Data Science Trainer Company : TeksAcademy Location : Hyderabad Employment Type : Full-Time (Onsite) About the Role: Were looking for an experienced and passionate Data Science Trainer to lead learning initiatives, impart industry-relevant knowledge, and build foundational and advanced skills in data science for our learners. As a Data Science Trainer, you’ll guide individuals or groups through the concepts and techniques needed to succeed in data analysis, machine learning, and data-driven decision-making. Key Responsibilities: Conduct Data Science Training : Lead both online and in-person training sessions on a variety of data science topics such as statistics, programming (Python, R), machine learning, data visualization, and more. Create and Curate Course Materials : Develop and update educational resources, such as slides, tutorials, exercises, and datasets, ensuring they align with the latest industry standards. Facilitate Hands-On Learning : Engage learners with practical coding exercises and real-world problem-solving tasks to enhance their understanding of data science techniques. Assess and Provide Feedback : Evaluate students' progress through assessments, quizzes, and projects, giving personalized feedback to help them improve their skills. Stay Current with Trends : Continuously learn about emerging trends, tools, and techniques in data science, integrating these into training materials and courses. Provide Mentorship : Offer mentorship to students, helping them build confidence in applying data science concepts, troubleshooting issues, and building portfolios of their work. Collaborate and Improve : Work closely with other instructors, curriculum designers, and teams to improve and refine training programs, based on feedback and results. Required Qualifications: Educational Background : Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience : Demonstrated experience in data science, machine learning, statistical analysis, and working with data programming languages such as Python, R, and SQL. Teaching Experience : Proven track record of teaching or training in a technical field, especially data science, either online or in-person. Technical Expertise : Strong hands-on experience with data science tools and libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Flow, etc.