Generative AI Engineer

Summary

Join SweetRush's Custom Learning Project team as a freelance Generative AI Engineer Subject Matter Expert! This fully remote US-based role focuses on developing a Generative AI Engineering with Gemini (Google DeepMind) certification course. You will collaborate with learning experience designers, ensuring the course's technical accuracy and practical applicability. The 6-month contract offers up to 30 hours per week, with an onboarding compensation and a negotiable hourly rate. Success in this role requires proven freelance experience and strong communication skills. SweetRush values diversity, respect, and a collaborative work environment.

Requirements

• Demonstrated, hands-on experience using Gemini and Google AI Studio for code generation and as an AI coding partner
• Experience integrating Gemini API/SDKs (Python, Node.js) into simple application and deploying to cloud environments (e.g. Cloud Run, serverless)
• Experience with advanced ML frameworks (TensorFlow, JAX, PyTorch) and deep MLOps for internal validation or advanced elective modules
• Familiarity with Google Workspace automation and integration
• Superior ability to clearly articulate complex Generative AI and Machine Learning concepts (particularly those related to Gemini and Google DeepMind's research), model architectures, technical details, and best practices to diverse audiences (both technical and non-technical)
• Experience in effectively choosing appropriate models (including different versions of Gemini) for various applications and addressing ethical considerations such as bias in training data and model outputs, adhering to Google's Responsible AI practices, bias mitigation, and security best practices in AI pipelines
• Strong problem-solving, debugging, and communication skills
• Experience in reviewing training materials for technical accuracy and clarity
• Essential experience in training, learning, and development, or teaching
• Proven ability to create and deliver effective screencasts and video tutorials
• Strong ability to articulate complex technical concepts in an accessible manner
• Availability to work during the US time zones' business hours
• Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred)
• Direct, hands-on experience with Generative AI engineering tools and services within the Google Cloud Ecosystem, with a specific focus on Gemini models , including model types, workflows, and building real-world applications with Gemini
• Comprehensive knowledge of LLM architecture (especially Transformer models relevant to Gemini) , advanced fine-tuning techniques (e.g., PEFT, LoRA, as applicable to models on GCP/Vertex AI), advanced prompt engineering for Gemini, and Retrieval Augmented Generation (RAG) strategies using Google Cloud technologies
• Proficiency in Python and machine learning fundamentals
• Hands-on experience with deep learning (CNNs, RNNs/LSTMs, transformers) and generative models, particularly those available or trainable on Google Cloud
• Experience deploying and managing AI models on Google Cloud (Vertex AI, GKE)
• Familiarity with MLOps, CI/CD, version control (e.g., Git, Google Cloud Source Repositories), and monitoring tools within the Google Cloud ecosystem (e.g., Vertex AI MLOps capabilities, Google Cloud Monitoring)
• Knowledge of data preprocessing, augmentation, and synthetic data generation techniques

Responsibilities

• Collaborate with a team of learning experience designers to help create and validate training materials
• Review a skills task or job task analysis for accuracy and completeness, providing feedback on essential vs. nice-to-know tasks and suggesting improvements
• Review a high-level program outline and provide feedback on the order and complexity of topics for the intended audience
• Review a detailed program outline to ensure alignment with the high-level program outline, and confirm that content is presented in the correct order and format
• Validate AI-generated content to ensure it conforms to learning objectives and is technically accurate
• Support the creation of content-specific graphics, such as tables, flowcharts, and screen captures
• Create any necessary assets to produce demonstrations that showcase specific procedures and skills
• Create recordings of software demonstrations and related audio scripts
• Coordinate with learning experience designers to develop the necessary assets, steps, and technical elements for hands-on projects, including exercises, labs, and projects
• Be available during US business hours, Monday through Friday, for content reviews, questions, and occasional meetings
• Work on Sweetrush systems for all work, including email, messaging platform, and cloud-based file storage systems
• Log time weekly and invoice time monthly

Preferred Qualifications

A strong understanding of adult learning principles is a plus

Benefits

• Onboarding will be compensated at $250 for up to 10 hours
• The ongoing hourly rate is negotiable