Generative AI Engineering with Gemini (Google DeepMind) - Freelance SME

SweetRush Inc.; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading consulting firm is seeking a freelance Generative AI Engineering Subject Matter Expert. This fully remote role focuses on developing a certification course using Google's Gemini models. Candidates should have a strong background in AI engineering, particularly with GCP, and experience in instructional design or learning development.

Qualifications

• Hands-on experience with Gemini and Google AI Studio.
• Proven track record in MLOps and deploying AI models on GCP.
• Strong understanding of responsible AI principles.

Responsibilities

• Collaborate with learning experience designers on training materials.
• Review and validate AI-generated content for technical accuracy.
• Coordinate with the team to develop relevant project assets.

Skills

Generative AI Engineering

Python

Machine Learning

MLOps

Communication

Education

Bachelor's degree in Computer Science or Engineering

Master's degree (preferred)

Tools

Google Cloud Platform (GCP)

TensorFlow

JAX

PyTorch

Docker

Job description

Generative AI Engineering with Gemini (Google DeepMind) - Freelance SME

Join to apply for the Generative AI Engineering with Gemini (Google DeepMind) - Freelance SME role at SweetRush Inc.

Generative AI Engineering with Gemini (Google DeepMind) - Freelance SME

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Join to apply for the Generative AI Engineering with Gemini (Google DeepMind) - Freelance SME role at SweetRush Inc.

Generative AI Engineering with Gemini (Google DeepMind) SME - Freelance Location: Remotein the United States

SweetRush has an exciting opportunity for a talented freelance professional to join our Custom Learning Project team! This is a fully remote position with the flexibility to work from anywhere, as long as you are available during US business hours.

Who We Are

SweetRush is a consulting, design, and staffing firm specializing in HR-related services that help foster life-centered businesses and organizations. Our work includes designing unique learning experiences using agency-level graphics and leading-edge technology; creating high-performing cultures, leaders, and teams; and helping our clients grow their learning teams with qualified professionals.

Many of our clients are household names with large international operations, while others are small nonprofits whose work we value as essential to the world. We try to balance the work we do for profit with the work we do to spread good things in the world.

SweetRush is a leader in the field of learning and development, leveraging emerging technologies (such as VR and AR), games, storytelling, chatbots, interactive virtual and in-person experiences, and more, all while grounding our work in vibrant and impactful human-centered design. The numerous awards we receive each year reflect the care we put into our craft and our collaborations with clients. We’ve been grateful to have won awards with notable clients such as Hilton, Google, Bridgestone, Adidas, and SHRM, among others.

We are a completely virtual, tight-knit, talented community that spans the globe, a culture-forward team that values diversity, respect, and caring. Our folks tend to stick around, as do our clients.

We like to think we stand apart from competitors for the uniqueness and innovation of everything we create—and for who we are. And we’re committed to hiring talent that’s as creative, innovative, and caring as everyone on our team. This is where you come in…

About the Role:

We are seeking a Generative AI Engineer Subject Matter Expert with deep expertise in designing, building, and deploying advanced generative AI models, specifically leveraging Google's Gemini models and the Google Cloud Platform (GCP) ecosystem. This role is pivotal to developing our Generative AI Engineering with Gemini (Google DeepMind) certification course. You will be responsible for ensuring the technical accuracy, relevance, and practical applicability of the course content. This role requires hands-on experience with Google Cloud AI services (particularly Vertex AI and Gemini APIs), deep learning frameworks, MLOps practices within GCP, a strong understanding of responsible AI principles as advocated by Google, and ideally, experience in Learning and Development. For this certification, the SME will need to support curriculum development for both non-programmers (using Gemini and Google AI Studio for code generation/automation) and developers (using Gemini as a coding partner and integrating via API/SDK).

This is a 6-month freelance contract, offering up to 30 hours per week. We're targeting a start date in mid to late June 2025. Onboarding will be compensated at $250 for up to 10 hours. The ongoing hourly rate is negotiable.

As this is a freelance position, we're seeking individuals with a proven track record of successfully managing freelance engagements and multiple client relationships.

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.

Essential Tools & Platforms

• Google Cloud Platform (GCP) AI Ecosystem: Vertex AI (including Gemini models, Generative AI Studio, Model Garden), Google Cloud AI Platform services, BigQuery, Google Cloud Storage.
• Gemini Specifics: In-depth understanding of various Gemini models (e.g., Gemini Pro, Gemini Ultra, Gemini Flash), their capabilities, APIs, and best practices for prompting and fine-tuning.
• Development & ML Frameworks: Python, TensorFlow, JAX, PyTorch, Hugging Face Transformers.
• Cloud & Deployment: Docker, Kubernetes (Google Kubernetes Engine - GKE), Google Cloud Run, Google Cloud Functions.
• Productivity: Google Cloud Shell, Colaboratory (Colab), Visual Studio Code.
• Data & Pipelines: Google Cloud Dataflow, Vertex AI Pipelines, Pub/Sub.
• MLOps: Vertex AI MLOps features (e.g., Vertex AI Experiments, Vertex AI Model Registry, Vertex AI Pipelines, and monitoring), general MLOps tools compatible with GCP.
• Agentic & Multimodal Frameworks: LangChain (especially in conjunction with Gemini), and understanding of developing multimodal applications with Gemini.

Required Skills & Experience

Key skills and experience for this Subject Matter Expert role focusing on "Generative AI Engineering with Gemini (Google DeepMind)" include:

Gemini and Google Cloud Expertise:

• 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.

Communication and Responsible AI:

• 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.

Learning and Development

• Experience in reviewing training materials for technical accuracy and clarity.
• A strong understanding of adult learning principles is a plus.
• 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.

Qualifications

• 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.
• Strong problem-solving, debugging, and communication skills.

SweetRush Is an Equal Opportunity Employer

We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, or belief; national, social, or ethnic origin; sex (including pregnancy); age; physical, mental, or sensory disability; HIV status; sexual orientation, gender identity, and/or expression; marital, civil union, or domestic partnership status; past or present military service; family medical history or genetic information; family or parental status; or any other status protected by the laws or regulations in the locations where we operate. SweetRush will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Call to Action: Submit Your Resume!

Team chemistry is everything to us, so our ultimate goal is to find the right fit. If the above describes your interests and experience, and you believe this will be a dream job, please submit your resume. We are excited to hear from you!

Please note: We're all about remote work and have collaborators based all around the world; however, SweetRush is a US-based company, and English is our primary language. If you'd like to be considered for this opportunity, please submit your resume in English.

SweetRush believes in transparency and fairness. And for that reason, all of our active searches are available on the SweetRush “Join Us” page at https://www.sweetrush.com/join-us/ . You can also find a handful of openings posted on our LinkedIn company page under the “Jobs” tab at https://www.linkedin.com/company/sweetrush/jobs/ .

Unfortunately, cybercriminals take advantage of good people. Please know that SweetRush would never ask for your personal information such as SSN, banking information, credit cards, etc. during the application or interview process. Always be mindful to protect your personal and financial information, and use careful judgment when providing information to recruiters or talent acquisition professionals.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Sales, General Business, and Education

• Industries

  Wireless Services, Telecommunications, and Communications Equipment Manufacturing

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