need a senior ML lead who has done the real thing: • Fine-tuning LLMs (LoRA, QLoRA, PEFT, full fine-tuning) • Reads training curves, designs ablations, and can explain why a result holds up • NOT prompt engineering or agent-building on top of frontier models — that’s a valuable but different skill • Model evaluation, benchmarking, and ablation studies • Preference optimization (DPO/RLHF) • Synthetic data generation and data curation • Agentic AI workflows and reasoning models • Distributed training and GPU optimization • Working with models such as Llama, Qwen, DeepSeek, Mistral, Gemma, and similar open models • Building repeatable experimentation pipelines and evaluation loops Bonus experience includes: * Knowledge distillation * RAG architectures * Multimodal models * Quantization and model optimization * vLLM, TensorRT-LLM, Ray, DeepSpeed, FSDP * Kubernetes and large-scale inference * Education domain experience would be a big differentiator. Structure: fractional / advisory to start, with the option to grow into the role as the work scales.

Job Title - Front End - AI Developer (Work from Office- Plano, Texas) Duration - 90 Days Initial Engagement (20 Hours/week) Work Mode- Onsite Work Location- Plano, Tx Position Summary: We are hiring a Senior AI Native Developer to join an active client engagement in the restaurant technology space. This is a hands-on, on-site role with a dual mandate: driving development execution as a Senior Engineer and acting as a client-embedded technical liaison — a Product Owner / Technical Lead hybrid — working alongside the client's CTO, stakeholders, and ISHIR's India-based development team. This role suits someone who thrives in ambiguity, translates business requirements into shipped code, and is equally comfortable presenting to executive stakeholders and writing production-grade AI features in the same week. WHAT YOU'LL DO WHAT WE'RE LOOKING FOR Must-Have 8+ years of hands-on software engineering experience, with at least 2 years building AI/ML or LLM-integrated products Proven ability to work directly with clients — comfortable in executive meetings and boardroom-level presentations Strong full-stack background: React or equivalent frontend, Python or Node.js backend; Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) — prompt engineering, RAG, tool/function calling Solid agile delivery experience: sprint planning, backlog grooming, coordinating distributed engineering teams US-based with ability to travel on-site to client locations (primarily Dallas, TX area) Exceptional written and verbal communication — you write as clearly as you code Strong Advantages Prior experience in a client-facing technical lead, senior PO, or solutions architect capacity at a services or consulting firm Familiarity with restaurant technology, hospitality SaaS, or B2B platform products Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployments (Azure preferred) Hands-on with agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar Anthropic Claude Certified Architect (CCA-F) or equivalent AI platform certification ABOUT ISHIR ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI. We are not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes. At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies. As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR. ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration

About Makai Makai uses best-in-class Al and data to solve real-world operational and strategic challenges at scale. Our Makai Automation Platform consists of a library of pre-built components and modules to facilitate enterprise automation via a unified human-machine teaming interface. Until now, people have had to learn and adapt to software. Makai creates solutions that adapt to people because technology will never be 100% accurate. People are essential for all of our human-machine teaming solutions, as they serve as the final firewall for accuracy and quality. About the role Makai is looking for a proactive Senior QA Engineer to join our growing team as a key contributor and leader within our QA practice. This is a contract-to-hire remote role in which you will be the hands-on expert driving quality initiatives, ensuring product reliability, performance, and user satisfaction. Qualifications: 5+ years of professional QA Experience, with a proven track record in testing complex web applications. Expertise in Modern QA methodologies, test design techniques (e.g., equivalence partitioning, boundary value analysis), and mastery of the full Software Development Life Cycle (SDLC) and Testing Life Cycle (STLC) within Agile frameworks (Scrum/Kanban) Proficiency in database testing: Practical experience writing complex SQL queries to validate backend behavior, ensure data integrity, and perform data/setup/teardown for test scenarios in relational databases (e.g. SQServer, PostgreSQL, MySQL). Foundational test automation experience with tools like Cypress, Playwright, or Selenium Ability to read and understand code in JavaScript, TypeScript, or Python to support test analysis and future automation initiatives. Excellent analytical skills, attention to detail and a methodical approach to testing. Fluent English (written and spoken) Strong communication and collaboration skills to work with Developers, Product Owners and QA Team. Responsibilities: End-to-End Quality Ownership: Manage the entire QA lifecycle - from analyzing requirements and user stories for testability, to designing test strategies and checklists, executing tests, and reporting on release readiness. In-Depth Functional & Regression Testing: Perform thorough manual functional, integration, regression, compatibility, and exploratory testing to ensure the highest quality of every release. API & Backend Testing: Conduct extensive API testing using tools like Postman and validate complex business logic by writing and executing SQL queries to ensure data integrity and backend functionality. Defect Management: Identify, document, isolate, and track bugs with a high level of detail and clarity throughout their lifecycle. Work closely with developers to facilitate resolution and verify fixes. Process Advocacy & Improvement: Champion quality best practices, provide meaningful feedback on requirements during grooming sessions, and contribute to the continuous improvement of our QA processes, tools, and methodologies. Mentorship & Knowledge Sharing: Proactively share knowledge and best practices, help fellow team members enhance their testing skills, and contribute to a strong, company-wide culture of quality. Core values for Makai employees: Have a strong work ethic. As a member of a fully remote team, it is very important that you can self-manage and drive your own work towards consistent excellence in a timely manner. Be self-sufficient and self-driven with an ownership mentality, no matter your role Be a flexible thinker Be congenial and a team player Always be of service to each other and our clients, partners, and neighbors

We are seeking an expert Data Scientist in the United States with 5+ years of experience in linear programming. The ideal candidate will have a strong background in data analysis and machine learning, with the ability to optimize complex systems using linear programming techniques. Responsibilities include developing and implementing data-driven solutions, collaborating with cross-functional teams, and providing insights to drive business decisions. TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with our innovative technology. We believe in empowering our customers through inventive solutions and a commitment to excellence. Our young, rapidly growing team is looking for passionate professionals who thrive in a dynamic, innovative, and collaborative environment. ***This role is FULLY REMOTE, though you MUST reside within the United States and be legally authorized to work in the United States. The Role TeamBuilder builds software for ambulatory healthcare operations. The problem is simple: turn messy healthcare data into actions. This role sits between data, forecasting models, and optimization. You own forecasts end to end and work directly with the optimization layer. Shape inputs, validate outputs, and turn results into something operators can use. What You’ll Do  Forecasting model ownership o Build and iterate production grade demand and volume forecasts o Evaluate models with backtesting and real-world performance o Maintain stability with retraining, drift monitoring, and failure handling o Improve models based on operational outcomes  Sit at intersection of data and optimization o Define input data contracts for optimization models including capacity, constraints, and demand o Transform raw data into model-ready features and constraints o Validate solver outputs and identify infeasibility, constraint conflicts, and scaling issues o Trace issues back to data assumptions and constraint design o Convert outputs into usable schedules and recommendations  Model + system validation o Compare model output to operational reality and explain gaps o Run scenario analyses under different constraints o Improve pipelines that support forecasting and optimization quality o Test assumptions against real-world variation  Communication / translation o Explain models and outputs to non-technical users including operators and clients o Translate tradeoffs between accuracy, feasibility, and constraints o Deliver clear recommendations tied to business outcomes o Participate in client conversations and defend model behavior What We’re Looking For Qualifications  5+ years in data science or applied analytics  Experience owning forecasting models in production  Strong Python and SQL, comfortable with large datasets  Experience working with messy data  Ability to explain technical work clearly to non-technical users Preferred Skills  Experience in healthcare or complex operational environments such as staffing or capacity planning  Experience with capacity-constrained systems  Familiarity with solvers such as Gurobi Why You’ll Love Working Here  Mission-driven team tackling real healthcare challenges.  Freedom to experiment and innovate without layers of bureaucracy.  Opportunity to shape the company’s data science culture and R&D direction.  Flexible work environment and supportive, intellectually curious teammates. Additional Information  Job Type: Contracted, Part-Time/Full-Time, Remote  Compensation: Hourly, project-based. Potential to go Full-Time.  Culture: We foster a collaborative, engaging, mission-driven culture that values innovation and prioritizes customer success.

I am seeking an experienced AI Developer with a strong background in instructional design and behavioral scaffolding to build a personalized, agentic study system for the Foreign Service Officer Test (FSOT). The study program needs to address the newly developed test format and draw on content sources outside the widely available FSOT study guides. The student should be guided to internalize the study material through myriad media platforms; puzzles, logic and word games, videos, text, historical and current events bring the information to life, solidifying the knowledge that can be used in multiple contexts – not just regurgitating memorized facts. In addition to the material presented as content, the program creator needs to be familiar with the differences in processing and communicating of individuals on the autism spectrum, and understand and anticipate behavior roadblocks that inhibit motivation and self-direction. The study plan needs to provide staggered daily tasks and activities, provide meaningful and achievable benchmarks, and status reports for both the student and the hirer. For the student, this study program should instill and reinforce behaviors that reach beyond the test prep. The program should enforce personal success factors such as documenting and monitoring tasks and checklists, managing short-term interval workflows, understanding dependencies of activities, and the ability to provide pertinent status reports. I want this position to start immediately and create, prepare and deliver a study program targeted to achieve success in 8-10 weeks.

# U.S. Software / AI Patent Attorney Needed – AI Ecommerce SaaS Platform ## Project Overview I am developing a new SaaS platform called **SAGE**, an AI-powered operating system/AI employee for ecommerce merchants. Development is preparing to begin, and I am looking for an experienced **U.S. patent attorney who is registered to practice before the USPTO** to help determine which parts of the platform may be patentable and develop the appropriate IP strategy before the product is publicly launched. I understand that not everything will necessarily be patentable. I specifically want someone who will tell me **what is and is not worth pursuing**, rather than encouraging unnecessary filings. ## Initial Scope For the first engagement, I would like: 1. Confidential review of my current SAGE product/technical documentation. 2. Discussion with me to fully understand the invention and intended architecture. 3. Preliminary patentability assessment. 4. Prior-art/patent search focused on the strongest potential inventions. 5. Identification of which specific mechanisms/workflows, if any, appear worth protecting. 6. Advice regarding utility patent strategy and whether a provisional application should be filed before further development/public disclosure. 7. Recommendations for documenting the invention as development begins. 8. Estimated cost and strategy for any recommended provisional and eventual nonprovisional application. If appropriate after the initial assessment, I would like to continue working with the same attorney on preparing and filing the patent application(s). ## REQUIRED Qualifications Please apply only if you: * Are a U.S.-licensed attorney. * Are currently registered to practice before the **USPTO**. * Can provide your **USPTO registration number** for verification. * Have meaningful experience with **software/SaaS patents**. * Have experience with **AI/machine-learning or computer-implemented inventions**. * Understand software patent eligibility and prior-art analysis. * Personally perform or closely supervise the substantive patent work. Experience with ecommerce platforms, browser extensions, APIs, data-processing systems, Shopify or multi-tenant SaaS architecture would be a major plus. ## Please Include With Your Proposal Please answer the following: 1. What is your USPTO registration number? 2. How many years have you practiced patent law? 3. Approximately how many software/SaaS/AI patent applications have you prepared or prosecuted? 4. Can you provide examples of issued software/AI patents you drafted or prosecuted? 5. Have you handled inventions involving AI, ecommerce, browser extensions, data reconciliation or automated workflows? 6. How would you approach determining whether this system contains patentable subject matter before recommending that I file? 7. What would you charge for the initial patentability/prior-art review? 8. If you recommend filing, what would you estimate for a professionally prepared provisional patent application? 9. What would you estimate for the later nonprovisional utility patent application? 10. Are you comfortable signing an NDA/confidentiality agreement before receiving the complete technical documentation? I am looking for a **long-term IP attorney**, not simply the cheapest patent filing service. I want to build SAGE into a significant SaaS platform over the next several years, so I am looking for someone who can help develop an intelligent patent/IP strategy as the technology continues to evolve.

Project Overview We are looking for an experienced AI workflow, process design, and prompt engineering expert to help us automate part of our sales and proposal development process. Currently, our project management team spends 4–12 hours developing a custom research plan and proposal for each active FSI lead. In busy weeks, we may work on 5–6 leads, which creates a significant time burden and slows down response time. We want to build a custom ChatGPT skill or AI workflow that can take sales notes, email context, and call notes, then help generate a research plan and proposal in our existing format. What We Need We need someone who can: Learn and map our current sales/proposal process Translate that process into a structured AI workflow Write effective prompts and decision trees Train or configure a custom ChatGPT skill/workflow Help the AI ask the right follow-up questions Generate proposal sections based on uploaded notes Recommend research scope, segmentation, targets, and options Output the final proposal in our existing template Desired Workflow The ideal AI workflow would allow us to upload notes from emails and sales calls. The AI would then ask a series of structured questions to determine how to write each section of the proposal. The AI should be able to: Recommend the appropriate research process Suggest project scope Identify demand segmentation opportunities Create tables for the proposal Recommend constituencies and companies to target Suggest research options Draft the proposal using our template Provide a strong first draft that our team can review and adjust Business Goal The goal is to significantly reduce the time spent developing research plans and proposals, especially for early-stage leads and marketing-generated opportunities. This is particularly important for new leads from companies we have not worked with before, where the probability of closing may be relatively low. We want to respond quickly and professionally without taking excessive time away from active client projects. Ideal Freelancer You should have experience with some or all of the following: AI workflow design Prompt engineering Custom GPTs or ChatGPT skills Sales/proposal automation Business process documentation B2B research or consulting workflows Template-based document generation AI-assisted decision trees Knowledge management or internal AI tools Experience with market research, consulting, or proposal development is a plus. Deliverables We expect the freelancer to deliver: A documented AI workflow/process map A set of structured prompts and instructions A functioning custom GPT, ChatGPT skill, or equivalent AI workflow Question logic for gathering missing proposal inputs Proposal section drafting logic Testing and refinement using sample lead notes Documentation so our team can maintain and improve the workflow Project Type This will likely begin as a one-time project, with potential for ongoing support as we refine the workflow and expand it to other proposal types. To Apply Please include: Examples of AI workflows, custom GPTs, or prompt systems you have built Your experience with proposal automation or business process automation Your recommended approach for this project Any questions you would need answered before starting

About the project We're a mobile coffee catering company, and we're looking for a videographer/editor to produce a warm, cinematic "Learn About Us" video for our website. The goal is to introduce potential customers to our services and share our backstory in a way that feels personal, inviting, and premium. Think midcentury modern aesthetic: clean lines, warm natural light, rich but muted color palette (walnut, cream, mustard, sage), tasteful negative space, and steady, deliberate camera work. We want it to feel calm and crafted, not busy or over-edited. What we need filmed 1. Founder interview (A-roll) Our founder speaking to camera while seated in a chair, with our coffee cart styled in the background. This is the spine of the video. It should be well-lit, with clean audio and a natural, conversational feel. 2. B-roll of the coffee cart Detail and wide shots of the cart, equipment, and setup steam, pour shots, the espresso machine, signage, the overall vibe. 3. B-roll of latte art & customer interaction Close-ups of latte art being poured, drinks being handed off, and genuine moments of customers enjoying the experience. Deliverables One finished video, approximately 3 minutes long Delivered in web-ready format (H.264 MP4, 1080p or 4K) plus a vertical/social cut if easy to include Color-corrected, with clean, mixed audio (lav or shotgun mic on the founder — on-camera audio is not acceptable) Licensed background music that fits the midcentury modern, relaxed tone 1–2 rounds of revisions included What we're looking for A demo reel or portfolio showing interview + b-roll storytelling (food/beverage, hospitality, or small-business brand videos are a big plus) Your own professional camera, lens, lighting, and audio gear Strong sense of pacing, composition, and color please point us to work that shows the aesthetic described above Reliable, communicative, and comfortable directing a non-actor founder to feel natural on camera Logistics Shoot: One day, on location (local). We'll confirm the exact date and address with the selected candidate. Timeline: Please include your availability and estimated turnaround from shoot day to final delivery.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲 Brain Co is building AI systems for the insurance industry. We work on complex, document-heavy workflows covering policy interpretation, claims analysis, and coverage reasoning, and we need experienced insurance professionals to help us do it right. As an Insurance SME, you will annotate insurance documents, review AI-generated outputs, and help us develop the rubrics and benchmarks that define quality for our machine learning pipelines. Your expertise shapes what our models learn and how they are evaluated. This is a part-time, contract engagement with flexible hours designed to work alongside your existing career, not replace it. 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗗𝗼 This combined role covers both sides of the insurance document intelligence pipeline: policy interpretation and claim analysis. It is designed for professionals with deep exposure to both underwriting and claims. Policy Tower labeling tasks: • Locate and annotate the limits structure within a given excess policy • Given an insuring agreement and its ensuing exclusions, produce a structured conclusion about how coverage responds to a described scenario Claim Triage labeling tasks: • Coverage: Determine whether the alleged loss triggers coverage, citing specific insuring agreements, exclusions, and conditions. • Liability: Assess the facts of loss and the strength of the liability case against the insured. • Litigation: Interpret the stage and trajectory of ongoing claim litigation. • Damages: Annotate claimed amounts and expected loss value based on available claim information. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • USA-based. 3 years of experience minimum; 5+ years strongly preferred, specifically within excess and specialty insurance. • Experience in excess and specialty (E&S) insurance as an underwriter, broker, claims professional, or coverage counsel. • Strong written communication skills. You will be producing structured written outputs, not just verbal expertise. • Ability to work independently and meet annotation throughput targets with high accuracy. • 3+ years of combined experience in excess and specialty insurance spanning both policy-side and claims-side work, as an underwriter, coverage attorney, wholesale broker, and/or claim adjuster or examiner. • Ability to interpret excess policy structure and render a coverage conclusion, and to evaluate a claim across all four adjuster dimensions. • Experience with General Liability, Professional Liability, or other casualty/specialty lines is required. 𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲 • Broad multiline experience across General Liability, Professional Liability, and related casualty and specialty lines. • Prior experience in AI/ML data labeling, legal document review, or expert annotation work. • Familiarity with ISO forms, manuscript endorsements, and layered program structures. • Experience with primary and excess GL, professional lines (E&O, D&O, Cyber), or environmental policies. 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗧𝗵𝗿𝗶𝘃𝗲 𝗜𝗳 𝗬𝗼𝘂 • Have deep, hands-on experience in specialty insurance including underwriting, claims, broking, or coverage counsel, with a focus on excess and specialty lines (E&S). • Can read a policy end-to-end including declarations, forms, endorsements, and schedules of underlying, and explain precisely how coverage responds across primary and excess layers. • Are based in the USA, ideally in the San Francisco Bay Area to collaborate in person with our AI and product teams when needed. • Are comfortable working in shared documents, async communication tools, and structured annotation interfaces. 𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 • Part-time, contract engagement with flexible scheduling that fits your current work. • Competitive hourly rate commensurate with experience and depth of specialty expertise. • Remote-friendly with collaboration over shared documents and working sessions with our AI and product teams. • Ideal location: San Francisco / Bay Area for optional in-person collaboration; fully remote applicants with strong credentials will be considered.

Here’s language you can use in the job post: ElectricIQ is a patent-pending electrical intelligence concept focused on identifying elevated electrical fire and equipment-failure risk using existing electrical-system data. I am seeking a senior engineer or small technical team to design and build a functional Phase 1 prototype that demonstrates how electrical-state data can be converted into meaningful risk intelligence. This is primarily a software, data analytics, and systems-integration project. The initial prototype should not depend on developing new proprietary hardware. Instead, it should use historical, simulated, publicly available, or representative electrical data from systems such as AMI, smart meters, SCADA, ADMS, EMS, BMS, power-monitoring systems, or data-center infrastructure. The prototype should demonstrate the ability to: • Ingest electrical time-series data from one or more representative sources • Analyze variables such as voltage, current, load, temperature, harmonics, power factor, equipment behavior, and abnormal operating patterns • Establish normal operating baselines • Detect anomalies, degradation trends, and combinations of conditions associated with elevated electrical risk • Generate a clear risk score or condition classification • Distinguish normal, elevated-risk, and critical conditions • Display findings through a professional web-based dashboard • Generate alerts and preserve an event history • Explain which data conditions contributed to each risk determination • Demonstrate how the architecture could later connect with utility, building, industrial, telecom, or data-center systems The Phase 1 prototype should include: 1. A defined system architecture 2. A representative electrical dataset or simulation environment 3. A functioning data-ingestion pipeline 4. Baseline and anomaly-detection logic 5. Initial predictive or rules-based risk-scoring methodology 6. A web-based dashboard 7. Alert and event-logging functionality 8. A live demonstration showing normal and elevated-risk scenarios 9. Complete source code, documentation, credentials, and deployment instructions 10. A technical roadmap for future prototype and production phases The initial goal is not to build a fully validated commercial product. The goal is to create a credible technical demonstration showing that existing electrical data can be used to identify developing risk conditions before a fire, equipment failure, outage, or critical event occurs. The ideal candidate should have experience in several of the following areas: • Electrical grids and power systems • Electric utility operations • SCADA, ADMS, EMS, AMI, OMS, or smart-meter data • Commercial building or data-center electrical systems • Power-quality analysis • Time-series analytics • Machine learning and anomaly detection • Predictive maintenance • Python and data engineering • Cloud architecture and API integration • Dashboard development • Electrical fault, asset-health, or condition-monitoring systems The selected engineer must be able to take ownership of the technical architecture and translate the concept into a working prototype without requiring a fully developed technical specification for every component. Candidates should explain: • Their relevant electrical-grid or power-systems experience • Similar prototypes or analytics systems they have built • How they would source or simulate representative electrical data • Their recommended architecture and technology stack • What the completed prototype would demonstrate • Estimated cost and timeline • Any technical assumptions, limitations, or dependencies All work must be performed under confidentiality. All prototype-related intellectual property, source code, models, documentation, system architecture, and deliverables created under the engagement must be assigned to ElectricIQ. I would position it as a software intelligence prototype built on existing electrical data. Not as a new sensor or hardware-development project.