Software Account Testing

We are looking for driven, motivated individuals eager to launch a lasting career in technology. If you want to gain practical coding skills, work on professional projects, and prepare for entry-level developer roles, this guided training program is designed for you. This remote program can be completed part-time or full-time, with nearly 900 hours of structured training and hands-on projects. You’ll master industry-standard languages, developer tools, and workflows—while building a polished portfolio and resume to secure employment as a Software Developer. 🖥️ Technology & Programming Fundamentals • Understand how computers, networks, browsers, and the internet operate • Explore algorithms, data structures, number systems, and security basics • Gain hands-on experience with Python scripting, command line tools, and logic flow 💻 Web & Front-End Development • Create websites with HTML5, CSS3, and Bootstrap styling • Build dynamic, interactive web pages using JavaScript, jQuery, and React.js • Apply responsive design and modern UI principles 🗄️ Back-End & Database Development • Work with SQL and SQL Server to design and manage databases • Perform CRUD operations and study relational database systems • Develop robust back-end systems with Python (Django) and C# (.NET Framework/Core) 🧑‍💻 Programming Languages & Tools • Learn seven major programming languages: C#, Python, JavaScript, HTML, CSS, SQL, and more • Use Git, GitHub, Visual Studio, and Team Foundation Server • Practice collaborative coding with professional version control methods 🧪 Capstone Projects • Complete two real-world projects (Python + C#) to apply your knowledge • Gain Agile, Scrum, and DevOps experience for portfolio-ready results • Strengthen debugging, teamwork, and problem-solving skills 🧰 Career Preparation • Receive guidance in resume writing, cover letter strategies, and job search skills • Practice whiteboarding and technical interviews • Prepare confidently for entry-level software and web developer opportunities 🚀 No experience necessary. Open to remote participants. Take the next step toward your career in technology. 👉 Apply now: 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.

The Tech Academy delivers cost-effective and self-paced online coding boot camps that are tailored for beginners with no prior technical or coding knowledge. Our certification programs thoroughly cover in-demand skills for the tech industry, are endorsed by stellar online reviews and designed to fit around your personal schedule to prepare you for your tech career with a well-rounded tool kit. We have been offering thorough, budget-friendly, flexible, and trusted coding boot camps for over a decade. Founded in 2014, The Tech Academy specializes in certifying students in a wide range of technical specialties, including: AI, coding, cybersecurity, data science, app development, design, web development, and more. After your coding boot camp, our job placement specialists will provide you with career guidance. Our team has successfully placed over 1,000 graduates in technical positions, with most making an average of more than $30/hour in their first job after graduation. Here is an overview of The Tech Academy's certification programs: 1. FLEXIBLE SCHEDULING & SELF-PACED TRAINING 2. BEGINNER-FRIENDLY COURSES 3. WELL-ROUNDED & THOROUGH TRAINING 4. AFFORDABLE & BUDGET-FRIENDLY TUITION 5. OVER 1,000 5-STAR REVIEWS ONLINE 6. JOB PLACEMENT TRAINING & ASSISTANCE The Tech Academy’s online certification programs start at $5,980, with multiple tuition financing options available. Start your journey into the technology industry today with one of our award-winning online coding boot camps! Find out more here by contacting us here: https://thetechacademy.us Your dream job in tech is just a Tech Academy boot camp away!

Platform Engineer - AI Tool & Integration Position Overview: The Data Analytics & AI department at RCG is seeking a highly skilled and experienced Software & Platform Engineer to join our team. This pivotal role requires a strong technical background in AI tooling, data platform architecture, cloud computing, and big data technologies. The successful candidate will be responsible for all tooling and integration with GenAI LLM, maintaining our Azure platform with OpenAI, and leveraging Databricks Mosaic AI. This role will be instrumental in driving innovation, ensuring seamless integration, and optimizing our AI and data platforms to meet the evolving needs of the business. Key Responsibilities: • Design, develop, and maintain tooling and integration for GenAI LLM and other AI models. • Manage and optimize our Azure platform, ensuring seamless integration with OpenAI and Databricks Mosaic AI. • Collaborate with cross-functional teams to identify and implement innovative AI solutions to enhance our platform capabilities. • Stay up to date with the latest advancements in AI and machine learning technologies to drive continuous improvement and innovation. • Develop and implement best practices for AI model deployment & scaling. • Design and execute integration strategies for incorporating large language models (LLMs) and CoPilot technologies with existing business platforms. • Assess and recommend suitable LLM and CoPilot technologies that align with business needs and technical requirements. • Conduct feasibility studies and proof-of-concepts to validate the integration of new tools and technologies. • Keep abreast of the latest advancements in LLM, CoPilot, and related technologies to identify opportunities for further innovation and improvement. • Understand and leverage MS CoPilot and MS CoPilot Studio for enhanced productivity and collaboration within the development team. • Integrate MS CoPilot tools into existing workflows and ensure seamless integration with other systems and applications used by the team. • Work closely with product managers, data scientists, and other stakeholders to gather requirements and ensure successful integration of LLM and CoPilot technologies. Requirements: • Bachelor’s or Master’s degree in computer science, Engineering, or a related field. • Proven experience in software/system/platform engineering, with a focus on AI tooling and integration. • Strong expertise in working with Azure, including managing and integrating AI services such as OpenAI and Databricks Mosaic AI. • Proficiency in programming languages such as Python, Java, or C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Solid understanding of software development methodologies, including Agile and DevOps practices and tools for continuous integration and deployment. • Understanding of data security best practices and compliance requirements in software development and integration • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication and collaboration skills. Preferred Qualification: • Strong proficiency in one or more programming languages such as Python, Java, C#, or JavaScript. • Experience with large language models (LLMs) and familiarity with tools like OpenAI GPT, Google BERT, or similar. • Hands-on experience with Databricks for data engineering, data science, or machine learning workflows. • Proficiency in using Databricks for building and managing data pipelines, ETL processes, and real-time data processing. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Hands-on experience with Microsoft CoPilot and CoPilot Studio. • Proficiency in working with APIs, microservices architecture, and web services (REST/SOAP). • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their integration services. • Knowledge of database systems, both SQL and NoSQL (e.g., MySQL, MongoDB). • Knowledge of natural language processing (NLP) and large language models (LLMs). • Previous experience in a similar role within a technology-driven organization. • Certifications in Azure, AI, or related areas.

We are lawyers and have a real case going to trial in SF soon. At this legal focus group, we will present to you arguments from both sides and want to hear your honest opinions and advice about the case. That is your job. Just about everyone who participates in one of our focus groups find it fun and interesting. The focus group will be held at a hotel meeting room in the financial district. Lunch will be provided. It starts promptly at 9 AM. Please be on time. At the end of the focus group, you will be paid $300 in cash. To be considered for this focus group please attach either a resume or a few sentences about the kind of work you have done. You MUST MUST include your cell phone number. I will text successful applicants and give them further details on Sunday or Monday.

Contingent upon contract award. First Division Consulting (FirstDiv) is currently seeking a Sr Systems Engineer position to support the Program Executive Office (PEO) Soldier at Ft. Belvoir, VA. This position is contingent upon award, one that will offer you the opportunity to be part of a cohesive and dynamic team providing mission critical support. The qualified candidate shall perform the following task(s): Serves as System Engineer on assigned PEO Soldier programs, with duties as identified below: Manages systems engineering activities including requirements analyses, functional analyses, design solutions formulation, systems analysis and control, and generation and maintenance of systems architecture products. Applies system engineering principles and procedures to translate quantified needs/requirements into system performance parameters and the identification of system/item configuration. Formulates and issues systems engineering documents, processes, procedures and milestones. Requires a thorough knowledge of the Systems Engineering Management Process and Implementation, as applied to the Department of Army/DOD Acquisition process throughout all life cycle phases; knowledge of DOD policies on Systems Engineering, Integrated Product and Process Development (IPPD) and IPT Management; and ability to coordinate and negotiate design and engineering activities with other related programs and organizations. Provides expert and authoritative advice affecting critical programs and technologies. Serves as subject matter expert for all technical aspects of assigned program. Performs top level design, development, integration, testing, installation, and troubleshooting. Translates military operational and mission requirements into practical system concepts and performance specifications. Develops and maintains technical documentation such as specifications, engineering drawings, system interface requirements, and engineering changes. Participates in post awards, program reviews, design reviews, and IPTs as the project engineer and/or technical expert on assigned programs. Evaluates design efforts to ensure integration of all the engineering disciplines and adequacy of the analyses performed, bringing in additional technical expertise as needed. Reviews test plans, procedures, and reports for technical adequacy on assigned programs, for both Government and contractor tests, as well as all failure reports. Reviews and evaluates system performance against specification requirements, monitors and assesses field performance, and assesses risk of meeting user and specification requirements. Initiates engineering change proposals and waivers/deviations as required, and conduct physical and functional configuration audits. Reviews program management documents to ensure accuracy and adequacy of technical content. The successful candidate must be able to work in a fast-paced environment with a demonstrated ability to juggle and prioritize multiple competing tasks and demands. Requirements Equivalent or experience commensurate with DAWIA Level III SPRDE certification. MS Systems Engineering or Systems Management and 20 years relevant experience. Breadth of experience and knowledge, and recognition in the Engineering community, to lead engineering efforts on assigned programs, and work independently with minimal oversight from the Government Lead. Serve as consultant to other team members and mentor workforce on Systems Engineering matters. Evaluate system engineering principles, procedures and process used on past programs, and establish new and innovative engineering strategies. Identify issues and brief PM on possible courses of action and their impact. Secret clearance is required. Physical Requirements: While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, and keyboard. Specific vision abilities required by this job include close vision requirements due to computer work. Light to moderate lifting may be required. Regular, predictable attendance is required. Work Environment: The work environment characteristics described here are representative of those a teammate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Moderate noise (i.e., business office with computers, phone, and printers, light traffic. Ability to sit at a computer terminal for an extended period. Benefits Medical, dental, vision, life insurance, STD, LTD, holidays, PTO and 401(k) plan with company match. FirstDiv is an equal opportunity employer. We are committed to providing equal opportunity to all applicants and employees in full compliance with all applicable state and federal laws prohibiting discrimination on the basis of race, color, age, gender, sexual orientation, gender identity and/or expression, religion, national origin, disability, protected veteran status, or any other class protected by applicable state or federal law.