SharePoint Wizard (Sisters)

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.

Position Summary: Provide technical design, consultation, information and assistance to internal and external customers under direct supervision to insure that project complies with all engineering standards. The designer will work under the supervision of more senior engineers. Work will be completed in concert with the stated project requirements, all current codes, as well as Prime Electric Engineering Standards. Applicant will be responsible for designing, developing and producing permit and construction documents for electrical systems. Essential Job Functions: • Power Distribution, Signal and Lighting Design • Single line Diagrams and Panel Schedules • Lighting Fixture Selection and Schedules • Lighting Control Diagrams • Title 24 Compliance Calculations • Review shop drawings and specifications • Review, comment and process equipment and system submittals • Visit job sites for field investigations • Voltage drop, load and demand calculations • Coordination with other construction trades and disciplines • Back check of own work for accuracy and completeness before submission to others • Perform coordination between architectural, structural, mechanical, plumbing, process and all electrical trades • Coordinate work with the project specifications or equipment buy-out • Attend project design team meetings. Interface with various team members, particularly the client, architect, and mechanical contractor/engineer • Research and resolve drawing interpretation problems, conflicts, interferences, and errors • Perform other duties assigned by Director of Engineering Minimum Job Requirements: • Bachelor of Science degree in electrical engineering a plus • Minimum 2-Years of experience in electrical systems design a plus • Proficient in AutoCAD, MS Word & Excel • Experience with Revit & Navis Manage a plus • Reasonable knowledge of the NEC as well as building codes and ordinances • Broad knowledge and experience with power and lighting design • Understanding of sustainable design and LEED Documentation a plus • Documents and archives work pursuant the Prime Electric standards

Ellington Solutions is seeking out qualified candidates that will: Assist the Marine Corps Tactical Systems Support Activity (MCTSSA) in establishing and overseeing sophisticated cloud and automation infrastructure pertaining to C5ISR systems. Facilitate agile infrastructure management while collaborating with various technical teams. Execute end-to-end automation processes, including provisioning, configuration, deployment, and testing. Develop agile infrastructure to support integrated automation and collaborative management. Create and maintain automation tools as well as CI/CD pipelines. Configure and manage cloud platforms such as AWS, Azure, GCP, Azure Stack, and Amazon Snow. Document and commit automation code to Git repositories. Provide training to operations teams on the effective use of automation tools. Requirements The qualified candidate will have: U.S. Citizenship (Required) Secret clearance with NATO access, no interim (Required) IAT Level II certification (Required) Bachelor’s degree in Computer Science or a related discipline Red Hat Certified Specialist in Ansible Automation AWS or Azure Associate certification Compliance with MCEN security standards and completion of cybersecurity training Adherence to DoD cybersecurity and OPSEC protocols Over 7 years of experience in infrastructure IT operations More than 5 years in software automation and development At least 2 years of experience in scripting (e.g., Python) Demonstrated expertise in network/system administration and virtualization technologies (e.g., VMware, KVM, Hyper-V) Experience with Git and GitLab Background in DevOps, CI/CD pipelines, and AI/ML systems Proficiency with Ansible Core, Ansible WorX (AWX), and Ansible Automation Platform (AAP) Knowledge of cloud platforms such as AWS, Azure, and GCP Experience with Terraform or other infrastructure-as-code tools

We are recruiting determined individuals who want to establish careers in the technology field. If you are looking to gain coding skills, work on real-world projects, and prepare for junior developer jobs, this training program is for you. This program is fully remote and can be completed part-time or full-time. With nearly 900 hours of instruction and project-based work, you’ll master programming languages, developer tools, and workflows—while building a résumé and portfolio employers value. 🖥️ Technology & Programming Fundamentals -Learn computer operations, networks, browsers, and internet functions -Study algorithms, security basics, data structures, and number systems -Practice Python scripting, command line operations, and logic mapping 💻 Web & Front-End Development -Build websites using HTML5, CSS3, and Bootstrap -Create dynamic applications with JavaScript, jQuery, and React.js -Apply responsive layouts and modern UI/UX concepts 🗄️ Back-End & Database Development -Design databases using SQL and SQL Server -Perform CRUD operations and relational queries -Develop back-end apps 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 TFS tools -Practice real-world version control and collaboration 🧪 Capstone Projects -Deliver two major projects (Python + C#) to showcase your skills -Build portfolio-ready apps with Agile, Scrum, and DevOps methods -Practice debugging, teamwork, and applied coding 🧰 Career Preparation -Learn résumé writing and cover letter strategies -Practice technical and whiteboard interviews -Get job-ready for entry-level developer positions 🚀 No experience needed. Remote learners welcome. Take the first step into a career in tech. 👉 Apply today: https://softwaredevpros.online/

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.

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