I need help completing this project today. The project sits between data engineering and AI. I have source data that needs to be cleaned, structured, and prepared so it can support both analytics and RAG-style AI workflows. The goal is to create a reliable pipeline that takes raw data, normalizes it, preserves basic metadata/lineage, and outputs clean datasets that can be used for dashboards, vector indexing, or internal AI tools. The work may include: - Reviewing the current source data and structure - Cleaning and normalizing datasets - Designing or improving an ETL/ELT flow - Preparing AI-ready data for RAG or vector search - Adding basic validation checks - Organizing outputs for analytics use - Documenting the final workflow clearly Ideal freelancer has experience with: - Python and SQL - Data engineering / ETL pipelines - Databricks, Spark, or similar tools - RAG data preparation - Data cleaning, validation, and modeling - Cloud data storage such as S3, Postgres, or similar This is urgent and must be completed today. Please only apply if you are available immediately and can work quickly without a lot of hand-holding. When applying, please include: - Your relevant experience with AI-ready data pipelines or RAG data preparation - The tools you would use - Confirmation that you can complete this today - Your estimated timeline for delivery

We are looking for a Senior Software Developer with excellent technical skills and outstanding interview abilities. The ideal candidate should be able to communicate clearly, think through problems in real time, and perform exceptionally well in technical discussions, coding interviews, and system design sessions. Requirements - 8+ years of professional software development experience - Strong expertise in one or more technologies such as Python, Node.js, Java, .NET, React, or similar - Solid understanding of system design, APIs, databases, cloud platforms, and distributed systems - Excellent problem-solving and analytical skills - Exceptional verbal and written English communication - Ability to explain technical concepts clearly and confidently - Strong performance in live coding, debugging, and system design interviews - Professional attitude and ability to think under pressure Responsibilities - Design, develop, and maintain scalable software solutions - Collaborate with engineering and product teams - Participate in architecture discussions and technical decision-making - Write clean, maintainable, and high-quality code - Mentor team members and contribute to best engineering practices Ideal Candidate - Performs exceptionally well in technical interviews and coding assessments. - Communicates ideas clearly and confidently. - Can discuss past projects in depth and explain technical decisions. - Demonstrates strong ownership and leadership qualities.

Hello, I'm looking for an experienced automation engineer or systems integrator to build a cloud-based automated messaging system for our restaurant operations. We operate 10 restaurant locations with approximately 40 Motorola TLK 25 radios using WAVE PTX. The goal is to use Radio.co to schedule already created operational voice mp3 reminders (opening procedures, food safety checks, labor reviews, closing tasks, etc.) and automatically broadcast those messages to designated WAVE PTX talk groups. The proposed solution would utilize: * Radio.co for scheduling and audio content * Azure Windows VM as a dedicated cloud-hosted dispatch workstation * WAVE PTX Dispatch for radio communications * Virtual audio routing and PTT automation to transmit scheduled messages to Motorola TLK 25 devices We're looking for someone who can design, deploy, test, and document the complete solution, including Azure configuration, audio routing, automation, monitoring, and scalability for future growth. If you have experience with cloud infrastructure, automation, streaming audio, dispatch systems, or Motorola WAVE PTX, please let me know how you would approach this project. We have a clear vision and proposed architecture for this project and are looking for a skilled developer to help execute, validate, and deploy it. The objective is to create a cloud-based automated messaging system that uses Radio.co for scheduled voice reminders and broadcasts those messages to Motorola TLK 25 radios through WAVE PTX Dispatch. We anticipate utilizing an Azure Windows VM, virtual audio routing, and automated Push-to-Talk activation to create a reliable, scalable solution for restaurant operations. At this stage, we need a technical expert who can review our proposed workflow, identify any improvements or challenges, and then build, test, document, and deploy the solution. The ideal candidate has experience with cloud infrastructure, automation, audio streaming, browser automation, dispatch systems, or Motorola WAVE PTX. We value practical execution and problem-solving and are looking for someone who can take an existing concept and turn it into a production-ready system.

We are seeking a Machine Learning Engineer with a strong background in Computer Vision and ML fundamentals. The ideal candidate will have experience in healthcare and automotive domains. This role requires someone based in the US, with the ability to work for 6+ months. The candidate should be able to integrate into our team seamlessly and contribute to ongoing projects effectively. [IMPORTANT] In order to verify your language preference. please attach your 1 or 2 mins intro video.

First things first: as the title suggests the compensation for this project is revenue based generated by new subscribers. That said here is the breakdown; A-Deployment of platform from repository to infrastructure ready-to-go live. Compensation $350 B- “On-call developer” in the event the platform goes down ( very unlikely). Reply to tickets submitted to through support. Compensation $250/mo C-A $500 bonus once 50 subscribers are reached. Most of the development has already been created, tested and completed a finished code-platform has been delivered and pushed to GitHub repository, but it is not yet deployed to the site (myfelipe.ai which still runs an older version). The plan is to follow these steps in order to deploy the code to the servers and prepare the platform to go live. Step 1—follow steps in the Pre-launch file attached. Step 2-Coordinate an online meeting to validate for Stripe account access code. Eventually get an invite as a master-developer. Step3-Push the code to Render/Vercel and set the production config (NODE_ENV, Stripe webhook secrets). Step-4 After the platform has gone live, a test of all the features must be performed, once confirmed everything is properly tested. Our waitlist promotion can be deployed (this has already been created and tested) We hope to launch July 24th but before the launch we should have collected some waitlist memberships before launch. Pls. Check the URL myfelipe.ai there you will find the 3 tears for members. We want to give members an additional discount if they sign up for 2 years instead of a monthly subscription. Also we would like to add a 5-year and a lifetime membership at significant discounts. Those who pay the $99 dollars upfront to be on the waitlist are eligible to receive an exclusive pricing. We believe in this exciting project hope you can catch the vision of helping small businesses be more efficient though ai. Come and join us.

I am seeking an experienced Automation / Embedded Systems Engineer to develop a robust, custom, production-ready Linux operating system image for a Raspberry Pi 3B+. The goal of this project is to create a 100% open-source, license-free "Gold Master" image that mimics a Unitronics smart relay/PLC workflow. This image will eventually be cloned across hundreds of offline poultry houses across a large-scale agricultural infrastructure. 🛠️ Hardware Stack (Target Environment) Controller: Raspberry Pi 3B+ booted completely offline (no internet access). Shield Stack: Sequent Microsystems Building Automation HAT + Sequent Stackable Smart UPS HAT (communicating via I2C). Display: Industrial HDMI Touchscreen. Power: 220V AC input stepped down via DIN-rail Mean Well power supplies (24V DC feeding the UPS HAT, separate line feeding the HDMI monitor). Outputs: On-board pilot relays triggering heavy-duty 220V AC industrial contactors/SSRs for high-voltage motors, heating, and lighting. 📋 Software & System Requirements Zero-Licensing Architecture: The entire system must utilize an open-source automation stack. We are using OpenPLC for the IEC 61131-3 visual ladder logic execution engine and Node-RED for the drag-and-drop HMI user interface. OS Hardening & Kiosk Mode: Built on Raspberry Pi OS Lite. The system must boot directly into a full-screen, fullscreen Chromium --kiosk browser pointing to the local Node-RED dashboard interface. There must be zero access to the underlying Linux terminal or desktop for farm operators. Display Power Management (DPMS): The system must utilize Linux screen blanking. The touchscreen backlight must completely power down after 5 minutes of inactivity and wake instantly back to the active HMI screen upon a physical touch event. Hardware Timekeeping (Offline): Synchronize the Linux system clock seamlessly on boot from the Sequent board’s battery-backed DS3231 Hardware RTC chip (hwclock) so the system maintains absolute real-world time accuracy without internet connectivity. Power Fail Resiliency & Retentive State: The software must listen to the Sequent UPS HAT. Upon 220V main power drop, a script must cleanly save current timer registers to retentive storage, write an event log, and execute a safe Linux shutdown to prevent SD card corruption. On power restoration, it must read the file and resume the cycle state seamlessly. HMI Password Protection: Implement a supervisor password/PIN keypad screen on the Node-RED interface, preventing unauthorized workers from modifying the timer settings. Data Logging & Audit Trail: Program local data logging (CSV or SQLite) to the SD card. It must record boot events, power losses, user logins, relay actions (start/stop), and track old vs. new values when configurations are edited. File writes must be buffered to optimize RAM and minimize SD card wear. Mass Replication Design: The image must be completely abstracted. All local variables (e.g., unique House ID, specific timer intervals) must be read from a local config file. Supervisors must be able to change these local configurations via the password-protected HMI screen so that the exact same master .img can be flashed onto hundreds of identical devices without code changes. 📦 Required Deliverables A single, universal flashable .img file ready to be duplicated onto standard SD cards. Clean, well-documented source code files for the OpenPLC logic and Node-RED flows. A highly clear, visual electrical wiring schematic showing exactly how the Pi, the Sequent HAT stack, the Mean Well power supplies, and the 220V contactors interconnect safely.

We are academic researchers studying how software engineering work is organized and how it has changed over time, particularly in response to generative AI tools. We are looking to interview several software engineers about their professional experience. Any information you provide will be used as part of academic research outputs, and will not be attributed to your name or your company. Compensation: $30 fixed rate (i.e., $60/hour for a 30-minute Zoom interview) --- Who we're looking for - Currently working or recently worked (within the past 6 months) as a full-time software engineer at a company. Since we are interested in learning about your usage of AI within a software engineering team, we cannot accept individuals who do not have this form of recent experience. - Any level of seniority welcome What the interview covers - How engineering work is organized at your company (or past company) - How workflows have changed in response to AI - Your experience with tools and workflows Output - The qualitative interviews will be used to inform research hypotheses for the academic project - With permission, we would also include the information directly in the qualitative section of an academic paper, covering interviews with 30+ tech workers --- e.g., as paraphrased or anonymized quotes --- To apply, please briefly describe: 1. Your experience in software engineering roles, over the past 4 years -- company names, job titles held, and dates of positions held 2. Your availability for a 30-minute video call interview Thank you!

Running an Independent campaign in a military-heavy, D+15 district in the region around Norfolk VA.

**Job Description: Data Engineer** We are excited to announce an opening for an experienced Data Engineer to join our dynamic team in the United States. As a key player in our organization, you will be responsible for designing, developing, and implementing robust data pipelines that leverage Snowflake and Databricks technologies. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is optimized for performance, scalability, and reliability. The ideal candidate will possess a strong background in data engineering and cloud data platforms, demonstrating expertise in building and maintaining data solutions that support business intelligence and analytics initiatives. You should be well-versed in various ETL (Extract, Transform, Load) processes and possess a deep understanding of data modeling and data warehousing concepts. In addition to technical skills, we are looking for someone who has a passion for problem-solving and a keen ability to troubleshoot complex data issues. You will be expected to take the initiative in identifying areas for improvement within our data architecture and propose innovative solutions to enhance our data capabilities. This is a contract-to-hire position, providing a unique opportunity to immerse yourself in cutting-edge projects that have a significant impact on our organization. You will have the chance to work alongside a talented team of professionals who are dedicated to driving data-driven decision-making across the business. Key Responsibilities: - Design and implement data pipelines using Snowflake and Databricks to ensure efficient data flow and transformation. - Collaborate with cross-functional teams to gather requirements and translate them into scalable data solutions. - Monitor and optimize existing data processes to improve performance and reduce latency. - Develop and maintain comprehensive documentation for data architecture, pipelines, and processes. - Ensure data quality and integrity through rigorous testing and validation procedures. - Stay up-to-date with industry trends and emerging technologies in the data engineering space. Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced degrees are a plus. - Proven experience as a Data Engineer or in a similar role, with a strong focus on cloud-based data platforms. - Proficiency in data modeling, ETL processes, and data warehousing concepts. - Hands-on experience with Snowflake and Databricks; familiarity with other cloud services (AWS, Azure, GCP) is a bonus. - Strong programming skills in languages such as Python, SQL, or Scala. - Excellent analytical and problem-solving abilities, with a detail-oriented mindset. - Ability to work effectively in a fast-paced, collaborative environment. We offer a competitive compensation package and the opportunity to work on innovative projects that are shaping the future of our business. If you are a motivated and talented Data Engineer looking for a challenging and rewarding opportunity, we would love to hear from you. Join us in our mission to leverage data to drive insights and enhance decision-making across the organization.

I am looking for an experienced Python developer or algorithm specialist to rigorously test and validate a few scripts that I have. The script locates stocks that have been trending for 2-3 days on the MACD zero line PRE BREAKOUT . Your primary goal will be to stress test the script, identify edge cases, very output accuracy, and ensure robust performance under various conditions. Code review: Evaluate the existing code base for efficiency, security, and best practices. Functional Testing: run the script against sample data sets to verify output, accuracy Edge case testing: intentionally push the algorithm to its limits to find potential bogs, bottlenecks or failure points. Documentation: provide the detailed report of your findings, including reproduction steps for any bogs and recommendations for optimization. Requirements: proven experience in algorithm, testing the bargaining and performance optimization. Strong proficiency in python and relevant testing frameworks. Familiarity with API’s or database Excellent and analytical skills and attention to detail. To apply: please submit a brief proposal, including: 1. Examples of past projects where you tested de BAIRD or optimize an algorithm. 2. Your preferred mythology for testing this type of script.. 3. Your estimated turnaround time for this project..