Quantitative Developer - Mid (Mult Openings) (Bala Cynwyd, PA)

We are seeking ambitious individuals eager to start careers in technology. If you want hands-on coding knowledge, real project experience, and readiness for developer jobs, this program is designed for you. This remote program offers flexibility to study full-time or part-time, with nearly 900 hours of guided training. You’ll master programming languages, industry tools, and workflows—all while building a strong portfolio and résumé to secure your first developer role. 🖥️ Technology & Programming Fundamentals -Learn how computers, networks, browsers, and the internet operate -Study algorithms, data structures, numeric systems, and security concepts -Work with Python scripting, the command line, and flowchart logic 💻 Web & Front-End Development -Create websites with HTML5, CSS3, and Bootstrap -Build dynamic content with JavaScript, jQuery, and React.js -Practice responsive and modern web design 🗄️ Back-End & Database Development -Design and maintain databases using SQL and SQL Server -Perform CRUD operations and learn relational database systems -Build back-end solutions with Python (Django) and C# (.NET/Core) 🧑‍💻 Programming Languages & Tools -Work with C#, Python, JavaScript, HTML, CSS, SQL, and more -Use Git, GitHub, Visual Studio, and Team Foundation Server -Practice professional version control and collaboration 🧪 Capstone Projects -Complete two major projects (Python + C#) to demonstrate skills -Build portfolio projects using Agile, Scrum, and DevOps methods -Develop problem-solving, debugging, and teamwork skills 🧰 Career Preparation -Learn résumé and cover letter development -Train for technical and whiteboard interviews -Enter the workforce as a software or web developer 🚀 No prior experience required. Remote-friendly opportunity. Start your career in software development today. 👉 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.

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