JOB OVERVIEW
SKILLS AND RESPONSIBILITIES
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- Imparting Training on SQL, Python or R Programming, Advanced Statistic, Machine learning and other Data analytics, Big Data & Business Intelligence tools.
- Good Understanding of Machine Learning, Deep Learning, Computer Vision, NLP, reinforcement learning, Algorithms, Time series and forecasting, SQL, Big Data, Business Intelligence Tools.
- Conduct online and classroom training sessions by providing practical use cases and assignments (both domestic and international batch and also 1:1 as and when required).
- Training working professionals on in-demand skills like Data analysis, Machine Learning etc.
- Design training programs and delivering highly interactive lectures online.
- To create/review/monitor and scrutinize the content of the course.
- Manage Data Analytics Training Content including Session Presentations, Assignments, Q&A facilitation & Quizzes.
- Project Management (projects evaluation & mentoring) & Support throughout the course journey.
- Class Scheduling, in class hosting, Demo Class Management & Client On boarding.
- Able to cater College Seminar, Workshop, & Corporate training.
- To provide Interview Preparation and placement assistance to students when required.
- Design quality self-faced recorded training sessions on all the latest Data Science development technologies for students, working professionals and corporates.
- Should have a understanding and knowledge of learner and success.
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DESIRED QUALIFICATION
- Candidate must have 2.5 to 5 years’ experience on Machine learning, Deep Learning, and Artificial Intelligence.
- Experience on imparting training on various data science technologies.
- Engineering degree or postgraduate degree or PhD in Computer Science or equivalent experience.
- Good interpersonal with excellent communication skills.
- Educational Background: B.Tech/ B.Tech/ PhD in computer science or equivalent from a top educational institution.
OTHER DETAILS
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- We are located at Noida Electronic City, Sector-63.(WFO)
- Shift Time- 10 am to 7 Pm.
- Working days 6 days Tuesday fixed off.
- Laptop is mandatory.