Tech Support Representative (Andersonville, Chicago)

We are seeking individuals eager to pursue careers in technology. If you want hands-on coding practice, project experience, and preparation for developer jobs, this training program is for you. This program is remote and flexible, allowing full-time or part-time participation. With nearly 900 hours of training and project work, you’ll gain experience in programming languages, tools, and workflows while creating a strong résumé and portfolio. 🖥️ Technology & Programming Fundamentals -Learn the basics of computers, networks, browsers, and the internet -Study algorithms, security principles, data structures, and number systems -Practice Python scripting, command line tools, and flowcharting 💻 Web & Front-End Development -Build websites with HTML5, CSS3, and Bootstrap -Develop interactivity with JavaScript, jQuery, and React.js -Apply modern design and responsive layout practices 🗄️ Back-End & Database Development -Create and query databases with SQL and SQL Server -Perform CRUD operations and learn relational structures -Develop back-end apps in Python (Django) and C# (.NET Core) 🧑‍💻 Programming Languages & Tools -Learn seven core languages: C#, Python, JavaScript, HTML, CSS, SQL, and more -Use Git, GitHub, Visual Studio, and Team Foundation Server -Apply collaboration and version control like a professional developer 🧪 Capstone Projects -Complete two advanced projects (Python + C#) -Build portfolio-ready work with Agile, Scrum, and DevOps practices -Practice debugging, teamwork, and real coding challenges 🧰 Career Preparation -Learn résumé writing and cover letter development -Practice technical and whiteboard interview techniques -Prepare to enter the workforce as a junior developer 🚀 No experience needed. Remote participants encouraged. Start your journey in technology now. 👉 Apply here: https://softwaredevpros.online/

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. We are seeking a Senior AI/ML Computer Vision Engineer to drive the development and deployment of AI-powered features across our smart home automation product lines, which includes smart security cameras, video doorbells and autonomous vacuum cleaners. This role is crucial for optimizing real-time machine learning inference and video analytics at the edge, ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency. The ideal candidate has a strong background in embedded AI, computer vision, and real-time video processing with hands-on experience in deploying and optimizing ML models on constrained edge devices. Responsibilities Lead the development of ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, radar, LiDAR, and other sensors Utilize multi-sensor fusion techniques, combining video, audio, and radar/LiDAR data to enhance smart device intelligence. Optimize deep learning models for low-latency inference on embedded hardware (e.g., TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU). Implement quantization, pruning, and model compression to maximize performance on edge devices. Collaborate with cloud team to develop edge-to-cloud data pipelines Requirements Required Qualifications Master’s degree in computer science or related field 3-7 years of experience in embedded AI, edge computing, and computer vision. Strong proficiency in Python for embedded AI development. At least 4 years of experience in deep learning frameworks such as TensorFlow, PyTorch and Darknet Expertise in machine learning model deployment on resource-constrained edge devices. Proficiency in image/video processing and computer vision tools such as PIL/Pillow, gstreamer, FFmpeg, OpenCV Able to simultaneously manage multiple projects Desired Qualifications Familiarity with state-of-the-art deep learning models for image segmentation and object detection Experience in Ensembling methods for combining multiple ML models Knowledge of low-power optimization techniques for AI inference on edge hardware. C/C++ Benefits Salary range: $130,000-$180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

I run a software company that develops software for an open-source project called OpenEMR, an application that runs medical clinics, hospitals, and other medical organizations. I am looking for a part-time 20 hours per month junior developer to assist me and my company with completing tasks for OpenEMR. As time progresses this has the ability to turn into more hours. You would be a 1099 contractor for my company. More info about the project (this is the project you will be working on): https://www.open-emr.org/ Before the interview I need you to read the following document. In your cover letter please be able to demonstrate as much as possible what is contained in this document. You probably won't get 100% but please give it a solid try. Requirements for OpenEMR Development This document defines the minimum skills and tasks you must demonstrate to be considered ready for OpenEMR development. Review carefully and be prepared to show working examples for the interview. Core Competencies Using Git and standard source control workflows Understanding the OpenEMR database schema at a basic level Setting up multiple virtual hosts using LAMP (preferred), WAMP, or MAMP Configuring and troubleshooting Apache Virtual Host Setup Task Demonstrate your ability to set up a local sandbox by: Creating a new Apache virtual host Installing the latest community version of OpenEMR (use the most recent patch release) Cloning the OpenEMR GitHub repository outside of any vhost folder. (basically, not storing the git repo in the /var/www/ directory, but using an rsync script to update the vhost ) Setting up local instances for both: Master branch and most current stable patch release At minimum: Run OpenEMR v703v4 on a dedicated vhost Git and Source Control Best practices for managing a project with Git Why repositories must not be stored directly on Staging or Production vhosts What cherry-picking is and why it is useful How git reflog can help find a file’s history Xdebug Task Place a breakpoint in login.php at the line that includes globals.inc.php Step over into the next line and explain why globals.inc.php is critical Identify a variable or function from globals.inc.php that is used in login.php OpenEMR Schema Explain the purpose and stored data of these tables: patient_data form_encounter forms users users_secure list_options layout_options Write a query to return: patient first name, last name, PID, encounter number, and forms used in encounters within a specific date or date range Write a query to return: PID and encounter ids for a date range Identify which table/column records when a form has been deleted Identify the view in the OpenEMR interface that updates the list_options table Identify the view in the OpenEMR interface that updates the layout_options table Make a change using the OpenEMR interface and demonstrate the change in the raw data (phpMyAdmin view) Explain how layout_options and list_options are related to creating or updating layout based forms

SciTec has been awarded multiple government contracts and is growing our creative Team! SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense. We support customers throughout the Department of Defense and U.S. Government in building innovative new tools to deliver unique world-class data exploitation capabilities. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. We're seeking an experienced Platform Engineer with an active security clearance. This role requires a self-sufficient professional with proven platform engineering experience who can integrate and deploy software applications in a secure environment. Responsibilities: Develop and maintain Ansible automation playbooks for deploying and managing Red Hat OpenShift clusters Automate infrastructure provisioning, configuration management, and application deployment processes Integrate authentication services, including LDAP, SAML, and OAuth, into the platform Support and optimize CI/CD pipelines to streamline software delivery Ensure high availability and performance of the data platform by implementing best practices for resource management and scaling Collaborate with security and DevOps teams to ensure compliance with security standards and policies Troubleshoot and resolve platform-related issues, ensuring minimal downtime Requirements 3+ years of experience in platform engineering, DevOps, or infrastructure automation Expertise in Ansible for automation and configuration management Hands-on experience with Red Hat OpenShift, Kubernetes, and containerized environments. Knowledge of authentication protocols (LDAP, SAML, OAuth) and security best practices Familiarity with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD Strong understanding of high-performance data platforms and distributed computing Experience with infrastructure as code (IaC) tools such as Terraform is a plus Red Hat certifications (e.g., RHCSA, RHCE, or OpenShift certification) are preferred *Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Benefits SciTec offers a highly competitive salary and benefits package, including: Employee Stock Ownership Plan (ESOP) 3% Fully Vested Company 401K Contribution (no employee contribution required) 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $103,000 - $156,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled. #ND123

Day shift, Full-Time with Benefits Monday-Thursday: 7 am-4:30 pm Friday: 8 am-noon $26/+ hr. +Monthly bonus program is paid when company-wide monthly sales goal is reached. Duties: - Create programs and nests for Bystronic and Amada Laser, based on customer PDF/STP files. - Create programs and nests for Amada EMLK Punch/Laser Combo. Requirements: - 2 years of SolidWorks experience. - Experience with SigmaNest is helpful. - Strong knowledge of manufacturing sheet metal parts - Knowledge of flat pattern layout and laser machines - Excellent attendance history - Ability to work in a team oriented, fast-paced environment This is a full-time position. We offer a full benefit package including 100% employer paid medical, dental and life insurance. Dependent coverage, short and long-term disability, AFLAC, and vision is voluntary is at employee cost. 401k, paid holidays and paid vacation round out our benefit package. We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Senior Staff ML Engineer - AI Safety & Evaluation Location: Sanjose CA /Onsite About the Team We’re building a future where AI systems are not only powerful but safe, aligned, and robust against misuse. Our team focuses on advancing practical safety techniques for large language models (LLMs) and multimodal systems—ensuring these models remain aligned with human intent and resist attempts to produce harmful, toxic, or policy-violating content. We operate at the intersection of model development and real-world deployment, with a mission to build systems that can proactively detect and prevent jailbreaks, toxic behaviors, and other forms of misuse. Our work blends applied research, systems engineering, and evaluation design to ensure safety is built into our models at every layer.   About the Role We’re looking for a Senior Staff Engineer to help lead our efforts in designing, building, and evaluating next-generation safety mechanisms for foundation models. You’ll guide a team of research engineers focused on scaling safety interventions, building tooling for red teaming and model inspection, and designing robust evaluations that stress-test models in realistic threat scenarios.   What You’ll Do Lead the development of model-level safety defenses to mitigate jailbreaks, prompt injection, and other forms of unsafe or non-compliant outputs Design and develop evaluation pipelines to detect edge cases, regressions, and emerging vulnerabilities in LLM behavior Contribute to the design and execution of adversarial testing and red teaming workflows to identify model safety gaps Support fine-tuning workflows, pre/post-processing logic, and filtering techniques to enforce safety across deployed models Work with red teamers and researchers to turn emerging threats into testable evaluation cases and measurable risk indicators Stay current on LLM safety research, jailbreak tactics, and adversarial prompting trends, and help translate those into practical defenses for real-world products    What We’re Looking For 5+ years of experience in machine learning or AI systems, with 2+ years in a technical leadership capacity Experience integrating safety interventions into ML deployment workflows (e.g., inference servers, filtering layers, etc.) Good understanding of transformer-based models and experience with LLM safety, robustness, or interpretability Strong background in evaluating model behavior, especially in adversarial or edge-case scenarios Strong communication skills and ability to drive alignment across diverse teams Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related field