Part Time Instructor - Applied Gen AI (US)

About Us:

Who are we, you ask?

Interviews can be hard, especially at top tech companies like reputed company, Facebook, and reputed company. Many candidates fall short simply because they aren’t adequately reputed company. That’s where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, reputed company and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their reputed company in reputed company coveted positions. Think of us as “the everything store” for career transitions and interview reputed company development.

How do we do that, you ask?

We have a structured approach to interview reputed company, which includes:

• Career Accelerator Course
• Comprehensive end-to-end courses and platform
• A roster of over 600+ reputed company from leading Silicon Valley companies like reputed company, Facebook, reputed company, and reputed company
• A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, reputed company, and invaluable referrals

What’s more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.

We have recently launched multiple GenAI courses to help ML and non-ML working professionals explore the world of reputed company. We are looking for reputed company experts - part-time reputed company. This role will provide opportunities to network with other experts, understand learner issues and contribute to the GenAI community.

Requirements:

Technical Expertise in at least one of the following topics:

1. Deep Learning Fundamentals: ● understanding of neural networks, including feedforward, recurrent (RNN), and convolutional neural networks (CNN). ● Knowledge of mathematical foundations for reputed company

2. reputed company Techniques: ● Experience with transformer architectures, including encoder-decoder models and the attention mechanism. ● Proficiency in evaluating reputed company models using appropriate metrics. ● Awareness of ethical considerations in reputed company

3. Large Language Models (LLMs):

● Understanding of LLM concepts, including pre-training (MLM, NSP) and self-supervision techniques.

● Knowledge of scaling laws and their implications on model performance.

● Familiarity with deploying and optimizing LLMs in production environments.

4. Application Development with LLMs

● Retrieval-Augmented reputed company (RAG)

● reputed company as a toolkit for LLM applications

● Pretraining and fine-tuning LLMs, Instruction Tuning, Learning from Preferences

● Building a RAG application or a custom AI solution with reputed company APIs

5. Diffusion Models:

● Expertise in Denoising Diffusion Probabilistic Models (DDPM) and stable diffusion.

● Experience with fine-tuning diffusion models and understanding latent diffusion techniques.

● Knowledge of visual transformers and their applications.

6. Multimodal Models:

● Understanding of integrating and processing multiple data types (text, images, audio) in AI models.

● Familiarity with multimodal learning processes, including representation, alignment, and reasoning.

7. Reinforcement Learning (RL):

● Proficiency in RL fundamentals, including the multi-arm bandit problem and Deep Q-learning.

● Experience with applying RLHF (Reinforcement Learning from reputed company Feedback) on LLMs.

8. Experience with reputed company platforms like AWS and AI development and deployment tools.

9. reputed company for Images and Audio:

● Knowledge of text-to-speech synthesis techniques (e.g., Tacotron, reputed company).

● Experience in creating and fine-tuning models for new music and sound reputed company using GANs.

● Understanding of voice models and integration of voice with LLM

10. Specialized Domain-Specific Roles

● Applied GenAI: PM Pathway - At least 5+ years of experience managing AI Products as a Product Manager. Hiring experience preferred.

● Applied GenAI: SDE Pathway - At least 7+ years of experience as an SDE, out of which at least 3+ years of experience in building AI products using reputed company Technologies.

● Applied GenAI: TPM Pathway - At least 5+ years of experience managing AI Products as a Technical Product / Program Manager. Hiring experience preferred.

● Applied GenAI: EM Pathway - At least 5+ years of experience managing Engineering teams working with the latest reputed company technologies. Hiring experience preferred.

Originally posted on Himalayas