Job Description: We are currently offering a contract opportunity for an experienced AI Model Developer specializing in ChatGPT models. This role involves customizing, fine-tuning, and integrating our proprietary ChatGPT into the backend of our website to enhance functionality and user experience. The ideal candidate will have extensive experience in AI schemas, model training using various computational tests, and must be prepared to handle sensitive information with high confidentiality. Responsibilities: Model Optimization: Apply advanced techniques to improve the efficiency, accuracy, and consistency of our internally-used ChatGPT. Semantic Enhancements: Enhance the semantic capabilities of the AI model to improve user experience. Interactive Map Integration: Develop and integrate interactive maps within the existing ChatGPT environment to augment user interaction. Web Integration: Seamlessly integrate the customized ChatGPT model into the backend of our website, ensuring robust functionality and smooth interaction flows. Data Security and Privacy: Strictly adhere to our privacy policies and sign a Non-Disclosure Agreement (NDA) to ensure the security of proprietary information. Collaboration: Work closely with our team to ensure smooth integration and functionality across platforms. Report on progress and technical challenges. Technical Skills: Expertise in AI schemas and various computational testing methods. Proven experience with semantic enhancement techniques and interactive tools within AI systems. Personal Skills: Excellent problem-solving skills, effective communication capabilities, and a strong ethical stance on privacy and data protection.

We are seeking a skilled Workflow Automation Specialist with a strong background in AI to help transition our current system from Zapier to a more cost-effective platform such as Make.com. Our current setup involves using an RSS feed to process job or project data, which is then analyzed by AI to categorize the complexity of tasks into entry, intermediate, or expert levels. This information is subsequently relayed via Slack messages. Responsibilities: • Evaluate our existing workflow automation setup and propose a more cost-effective alternative while ensuring equivalent or enhanced functionality. • Develop and implement a transition plan from Zapier to the new platform, ensuring minimal disruption to ongoing operations. • Integrate AI tools to analyze incoming jobs or projects from an RSS feed to assess and classify their complexity level. • Configure the new system to automatically send tailored notifications to designated Slack channels based on the analysis. • Provide training and documentation for the new system to ensure ease of use and maintainability. Requirements: • Proven experience in workflow automation tools like Zapier, Make.com, or similar platforms. • Strong understanding of AI and machine learning, specifically in the context of data analysis and process automation. • Experience in setting up and managing RSS feeds and integrating with communication tools such as Slack. • Excellent problem-solving skills and the ability to optimize workflows for cost and efficiency. • Strong communication and training skills to effectively transfer knowledge to the team.

I need an artificial intelligence expert who could attend to the needs of a mobile phone company who needs to build a comprehensive and responsive chatbot to be included in their mobile phone.

Our organization is looking for a dedicated professional that can develop a chat bot for our website. We are a research team wanting this integration to make our website more accessible and user friendly to anyone who has questions regarding our work. I hope you are up for the challenge and please feel free to reach out with any questions. Thank You!

Introduction: We are seeking a skilled AI Automation Specialist to enhance our client acquisition process. Our goal is to leverage cutting-edge AI technologies to streamline and optimize the search for new clients, making the process more efficient and effective. While we prefer no-code solutions for ease of use on our end, we are open to coding solutions provided they do not require coding skills from our team. Responsibilities: • Develop and implement AI-driven solutions (no-code or minimal code) to automate the client search and outreach process, utilizing AI agents effectively. • Work closely with the marketing and sales teams to define target markets and ideal client profiles, applying AI agents to intelligently target and engage potential clients. • Ensure that any coding solutions are fully managed, requiring no coding interactions or maintenance from our non-technical team members. • Integrate AI tools with existing CRM systems to enhance data analysis and lead generation, ensuring these integrations are user-friendly and require minimal technical skill to manage. • Monitor and adjust AI systems to improve performance and accuracy over time, focusing on user-friendly interfaces and the strategic use of AI agents. • Stay updated on industry trends and advancements in AI technology, particularly in the area of no-code platforms and AI agents that can benefit our client acquisition efforts. Requirements: • Proven experience in AI, machine learning, or a related field, with specific expertise in no-code automation technologies and a deep understanding of AI agents. • Strong understanding of AI frameworks and APIs that support no-code implementation and the deployment of AI agents. • Experience in data analysis, machine learning models, natural language processing, and the practical deployment of AI agents in business processes.

Our client is working with a federal agency to build four (4) ML/AI pilot applications within AWS GovCloud. The client possesses an AWS GovCloud account. The client is investigating architecture support in developing these use cases and potential expertise to augment their current AI/ML team. Team members must be US citizens and located within the continental USA. The Top-level requirements are included below. A preliminary architecture diagram and more detailed requirements can also be provided. Four separate pilot projects incorporate the capability to obtain and ingest external financial data to provide machine learning insights (e.g., anomaly detection, traditional analytics/reporting, supervised/unsupervised machine learning models). Insights should be viewable from Quicksight. Ingested data for these four pilots will be extracted in batches, averaging 200-500GB daily. Minimal PII across all ingested data. AWS Services must be within AWS GovCloud and accredited at Fedramp High. Preliminary AWS Services are required (open to suggestions). API Gateway, Cognito, S3, AWS Glue, Redshift data warehouse, Sagemaker, Quicksight, CodeBuild, CodeCommit, ECR, Step Functions, Cloudwatch

Build an AI gift generator and experience finder that is personalized.

Hello there, I’m trying to develop a desktop application for personal use that utilizes machine learning/AI to format text/notes into usable study material. I have a set of notes that’s essentially bulleted sentences. I want to develop an app that effectively formats my notes (such as bold, italicize, underline, etc) which I will later use to study. I already have a set of 30,000 flashcards which can serve as a database for the algorithm to learn how to properly format the material. Once this algorithm is created, we will apply it to the unformatted study material to see if it can correctly format it. I can explain in more detail over a call. This will serve as an MVP. There are several iterations we could do following this initial step, but I wanted to see if this initial version is feasible Looking forward to working with you 😊

We are looking for a Technical Product Owner with a strong background in AI and Machine Learning technologies to support innovative product development. The ideal candidate will expertly merge technical expertise with product vision to enhance our AI-driven solutions. Responsibilities: • Develop and articulate a clear vision and strategy for AI-powered products, ensuring alignment with business goals. • Manage the product backlog, prioritize features based on value, feasibility, and client demand. • Support integration of various backend services using Node.js and Python, enhancing API functionalities. • Lead projects involving large language models and conversational AI, from concept through execution. • Stay abreast of industry trends in AI and software development to keep our products competitive.

We are currently seeking an experienced AI consultant/trainer to deliver an onsite education program for the Directors of a community college in Cheyenne, Wyoming. Administration & Finance is spearheading this initiative to expose the Directors to the potential of AI in their respective areas of operation. Scope of Work: Duration: 1 day (7 hours) Location: Cheyenne, WY Timeline: Within the next 3 months (TBA) Pay: $1100 for the day of training, paid within 5 business days of training completion, plus $200 travel deposit paid at contract start. Client Background: Client is actively working towards adopting AI policies and procedures. While their IT department is currently testing Microsoft CoPilot, they are open to exploring other AI platforms as well. The Directors responsible for various operations come from diverse backgrounds, so the training should cater to individuals with varying levels of AI knowledge. Training Objectives: The training program should cover the following key objectives: Introduction to AI and its significance in the workplace Understanding how AI is transforming various aspects of operations Preparation for the AI-driven future Overview of AI capabilities and applications Practical examples and case studies to illustrate AI implementation in different operational areas Ideal Candidate: We are looking for an SME level trainer based in the Denver, CO area or within a 3-hour drive to Cheyenne, WY. The ideal candidate should have expertise in AI technologies and prior experience delivering educational programs to diverse audiences. Strong communication and presentation skills are essential for effectively conveying complex AI concepts to non-technical stakeholders. Workshop Outline: Introduction to AI (1 hour) What is AI and why it matters now Overview of AI capabilities and its impact on the workplace Applications of AI (1.5 hours) Prompt essentials and iterative steps Automation of routine tasks and task management Augmentation of human capabilities AI assistance and augmentation in operational workflows Analytics and predictions for informed decision-making Live Examples and Case Studies (2 hours) Group exercises to explore real-world applications of AI in different operational scenarios Work through live examples to stimulate critical thinking and ideation Q&A and Discussion (1.5 hours) Open forum for participants to ask questions and discuss potential AI integration strategies within their respective departments Delivery Method: The trainer will conduct the workshop in person, utilizing a large display screen for presentations. Participants are required to bring their own laptops for interactive learning exercises. If you meet the qualifications and are interested in this opportunity, please submit your proposal outlining your relevant experience, training approach, and availability. Looking forward to collaborating with a passionate AI expert to empower our client's leadership team with the knowledge and tools to navigate the AI-driven future effectively.