Create a positive, professional and inclusive learning environment, by:
Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
Managing regular communication with students to align on progress, expectations, celebrate milestones and address concern areas
Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:
Providing constructive and timely feedback to students in the cohort
Assisting in the management of Performance Action Plans for individual students who need additional support
Serve as role model for students and as an ambassador for our brand, by:
Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources
Encouraging teamwork and seek feedback for continuous improvement
Requirements
8 + years of experience in the field of Data science/Machine learning/deep learning
Working knowledge of Applied Data science with Python
Good knowledge of Machine learning
Good knowledge of Deep learning with keras and tensorflow
A passion for teaching and an ability to explain complex technical concepts
A history of choosing a path of integrity
Excellent written and verbal skills
Tech Stack
Keras
Python
Tensorflow
Benefits
Compensation: The expected compensation for this role for candidates from United States is $50 -$55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.