Job Description

Location:

Bengaluru, Karnataka

Experience:

Minimum 3 Years of EdTech/IT/Corporate/Institutions

Qualification:

BE, BTECH, ME, MTECH, MCA

(Any Degree)

Shift Timing:

9:00 am to 6:00 pm (Mon to Fri) 9:00 am to 1:00 pm ( Sat)

Skills & Requirements:

Excellent communication skills written and verbal and negotiation skills Fluent English speaking is mandatory. Strong training experience highly preferred in Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, , PySpark, Experience with programming languages. Knowledge of functioning of academic institutions and placement process The candidate should have good interpersonal skills and networking in the market. Multi-tier architecture knowledge Excellent self-management skills (task lists, status reports, prioritization) Commitment to quality and timely deliverable Desire to understand the business

Roles & Responsibilities:

Training Graduate Engineers, Working professionals, Corporate freshers and Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development Develop and deliver training programs on data science topics. Experience in developing Hands-on projects and hand-holding large groups of students in the same. Create and update training materials and resources. Working experiences on embedded systems project development Experienced in all phases of product life cycle including requirements, design, coding Managing all aspects of the training cycle i.e. Training need analysis, course development, implementation and delivery, monitoring and evaluation. Ensuring quality delivery to students Establish expectations with project members and provide timely feedback Manage the work of developer resources, mentoring and coaching as needed Provide programming direction to a team of trainers

.

Job Type: Full-time

Pay: ?35,000.00 - ?65,000.00 per month

Experience:

Data science faculty: 3 years (Preferred) Power BI : 3 years (Preferred) Machine learning: 3 years (Preferred)
Language:

English (Preferred)
Work Location: In person