Instructor, Microsoft AI Machine Learning, Simplilearn; Part time

About:
Simplilearn

Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands‑on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment.

Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.

Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.

As an Instructor at Simplilearn, you will play a vital role in shaping the future of artificial intelligence and machine learning aspirants and professionals. Specifically, you will deliver content from our AI and Machine Learning Post Graduate Program, developed in collaboration with Microsoft. This program is designed to provide learners with comprehensive knowledge and hands‑on experience in building intelligent systems using machine learning, deep learning, and neural networks.

In this role, you will lead live online classes, mentor students through lab exercises and real‑world projects, and facilitate discussions that connect AI/ML concepts to practical business applications. By breaking down complex theoretical ideas into easy‑to‑understand modules, you’ll help learners become proficient in the tools and techniques that drive AI innovation across industries.

This is a part‑time, remote role. All sessions are conducted live in a fully online, interactive format.

In this role, you will:

• 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

You are a great candidate for this role if you have:

• 5+ years of hands‑on experience in Machine Learning (ML) and Deep Learning (DL), including developing and deploying models using Python, Tensor Flow, PyTorch, or other ML frameworks
• A deep understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, neural networks, support vector machines, decision trees, and reinforcement learning
• Solid background in mathematical foundations of machine learning, including probability theory, linear algebra, optimization, and statistical analysis
• Experience with the full ML lifecycle, from data pre‑processing, feature engineering, and model selection, to model evaluation and deployment in…