System of Systems Integration SME

We are looking for driven individuals ready to establish a career in technology. If your goal is to gain coding skills, build professional projects, and prepare for entry-level developer positions, this program is for you. This is a remote opportunity that can be done part-time or full-time, including nearly 900 hours of structured lessons and project work. You’ll train with industry-standard languages and tools while creating a résumé and portfolio to launch your career. 🖥️ Technology & Programming Fundamentals -Understand how computers, browsers, networks, and the internet function -Learn algorithms, data structures, number systems, and security basics -Practice Python scripting, command line skills, and flowchart logic 💻 Web & Front-End Development -Develop websites using HTML5, CSS3, and Bootstrap -Create dynamic features with JavaScript, jQuery, and React.js -Use responsive design and layout principles 🗄️ Back-End & Database Development -Design and operate databases with SQL and SQL Server -Perform CRUD operations and master relational models -Build scalable back-end systems using Python (Django) and C# (.NET/Core) 🧑‍💻 Programming Languages & Tools -Learn seven key languages: C#, Python, JavaScript, HTML, CSS, SQL, and more -Work with Git, GitHub, Visual Studio, and Team Foundation Server -Apply version control and real-world team practices 🧪 Capstone Projects -Deliver two large-scale projects (Python + C#) -Build portfolio-ready applications using Agile, Scrum, and DevOps -Enhance debugging, teamwork, and problem-solving abilities 🧰 Career Preparation -Develop résumés and cover letters for tech jobs -Prepare for technical and whiteboard-style interviews -Step into entry-level developer roles with confidence 🚀 No experience required. Remote options available. Begin your path into technology today. 👉 Apply here: http://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.

@everyone Job opening: Warehouse is hiring a car driver, working hours start at 11 AM, 8 hours per day, $23/hour, company provides vehicle, work location: Chino, contact number 9296267666 6269771733 WeChat ID zxm6269771733

About HungryPanda HungryPanda is a world leading lifestyle platform, covering online delivery, retail, grocery delivery and lifestyle services with 3.5 million registered customers, 60K merchants and 40K riders. Consolidating the end to end value chain of the overseas Chinese food industry to leverage efficiency and scale. Creating business opportunities via our deep reaching business network and consumer data. Our People Above all we are food lovers, curious to explore new opportunities, as passionate about creating value for every stakeholder in our ecosystem as we are about delivering our customers quality authentic oriental food. We are a young company, innovative and enthusiastic, creative and professional, supporting our team members to work efficiently rather than long hours. We value everyone’s opinion and encourage open-mindedness and sharing within the team. We work hard, play hard, and – of course – keep our workforce fed and happy! 【Marketing Intern - Mandarin Speaking】 Duties and Responsibilities 1. Assist the marketing department in expanding and managing the local market customer base, and maintain and enhance the company's brand image. 2. Assist in maintaining and operating online WeChat groups in the local market (including inviting members to join groups, user interaction, event creation, content editing, user maintenance, etc.). 3. Participate in offline ground promotion for new user acquisition, and preparation of promotional materials. 4. Collect hot topic information, organize WeChat group information, handle Xiaohongshu KOLs and Xiaohongshu content placement, etc. Job requirements： 1. In Philadelphia/Edison 2. Fresh graduates or those seeking summer internship opportunities. 3. Relevant experience in marketing and new media operations is preferred; possess good market and consumer insight. 4. Positive and outgoing personality, with good communication skills, execution ability and learning ability. 5. Active thinking, courage to try, and full of passion. 6. On-site work in the local area is required. 7. Good communication skills and fluent in Chinese. What we offer： Global work environment: Since it was first launched in the UK in 2016, HungryPanda has quickly become the leader of Chinese food delivery platform in the UK, and has expanded to France, New Zealand, the United States, Australia, Canada and other countries. It has set up operation departments in 10 countries. Learning opportunities: HungryPanda has a complete training system. Panda Academy has launched professional training courses and advanced training for various business departments to help you understand the work of business departments, master basic skills faster, and improve your own abilities; Line Manager has one-to-one communication and counseling. Good working environment: Flat organization, more efficient communication; highly educated background team, doctoral team of top overseas universities; promotion opportunities twice a year; regular departmental team building opportunities.

Seeking live-in housekeeper (commuting also acceptable) Responsible for light household cleaning, preparing two meals per day, primarily caring for and accompanying an elderly person. Must be loving, patient, have good communication skills and a strong sense of responsibility. Applicant must be over 30 years old, have legal residency, no bad habits, and be in good health. Work is easy and schedule is flexible. Interested parties, please call: 929-252-0608. If no answer, please leave a text message.

Job Information: contact information：wangyuansheng@t-aranis.com ● Job Title: Sales Associate ● Position Type: Full-Time/Part-time ● Industry: Retail ● Location: Los Angeles, California, United States At TARANIS, we’re looking for motivated, proactive individuals who excel in a collaborative environment, embrace feedback, and are passionate about continuous learning and personal growth. If you are curious, adaptable, and ready to take on new challenges, we would love to have you join our team. As a member of the TARANIS family, you’ll receive comprehensive onboarding, in-depth product training, and customer management development to ensure your success and ongoing professional growth within the company. Responsibilities: ● Develop strong product knowledge and effectively communicate key features and benefits to customers. ● Greet and engage customers, assess their needs, and drive sales through product recommendations. ● Ensure store displays are organized, visually appealing, and aligned with company standards. ● Track sales, perform inventory checks, and generate accurate reports. ● Handle daily store operations, including receiving shipments, restocking, returns, and supporting loss prevention. ● Deliver exceptional customer service at all stages of the shopping experience—pre-sale, during the sale, and post-sale. ● Stay focused and goal-oriented, maintaining a positive attitude even in high-pressure situations. ● Keep your designated area clean, organized, and safe. ● Be proactive, reliable, and take ownership of your tasks. ● Complete other tasks assigned by the supervisor. ● Approach new challenges and tasks with a 'can-do' attitude. ● Flexibility to work evenings, weekends, and holidays as needed. ● Ability to meet physical demands, including bending, squatting, reaching, climbing ladders, and standing for long periods. Qualifications: ● High school diploma or equivalent required. ● Relevant work experience in retail or customer service is preferred. ● Strong communication skills, with a team-oriented approach and a customer-first mindset. ● Proficiency in English; additional fluency in Chinese and Spanish is a plus. Job Types: Full-time, Part-time Pay: $16.50 - $22.00 per hour Compensation Package: Bonus opportunities Monthly bonus Schedule: 10 hour shift 12 hour shift 8 hour shift Work Location: In person