🧑‍💻 At-Home Software Developer Work and Training

We are struggling to implement a dispatch software program for our HVAC business and are looking for the right person to assist a small office and field technicians in starting to use the program. The program is Buildops

Job Title: ML Infrastructure Engineer with GCP Location: Mountain View, CA [Needs to be onsite for 1 week once in a quarter on your own expenses] Job Type: W2 Duration: Long Term Note: Only PST and MST candidates are required.     Must have:  · Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure. · Proficiency in programming languages Python, Java · Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred. · Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn). · Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). · Strong understanding of Containerization technologies (e.g., Docker, Kubernetes). · Excellent problem-solving and communication skills. · Experience with big data technologies such as Apache Spark or Hadoop Preferred.   Kindly please share your resumes with srikar@isofttekinc.com or 707-435-3471  

APPLY HERE Are you looking to earn money from home? Join our expanding virtual team at Reel Edge and engage in online tasks that are both enjoyable and well-compensated. Your Role: Complete interactive online tasks in the gaming sector (training included). Track your progress and earnings through our user-friendly platform. Experience a variety of tasks that keep your activities interesting. Perks & Compensation: Competitive Pay: Earn $500-$1,200 for a 20-hour commitment. Consistent opportunities for proven performers. Flexible Schedule: Work on your own time. No Experience Needed: Full onboarding and support provided. Next Steps: Click "APPLY NOW" below for a simple application process. We respond to all applicants within two working days. Testimonial: “Working with them has been fun! It pays really well and fast too. I've been working with them for 2 months and have nothing but good things to say. I've earned enough extra money to go on a 5-day cruise!" - Jenn M APPLY NOW

Make it your own by discovering new ways to apply the latest technologies securely and expertly. You'll become a critical part in how we successfully solve our clients' biggest challenges, deliver on promise, and innovate the client's physical/virtual infrastructure for the future. Our work depends on a Virtualization Engineer joining our team to support Government activities in Sterling, VA or Annapolis Junction, MD. As a Virtualization Engineer supporting the Government, you will be responsible for physical/virtual platforms, server build deployments, server virtualization, hyperconverged platforms, etc. In this role, a typical day will include: Design and build virtual environment service models including Infrastructure-as-a-Service and Platform-as-a-Service. Identify, design, and implement process improvements for the virtualization of and distribution of applications: automating manual processes, optimizing delivery, re-designing infrastructure for greater scalability Designs, implements, and maintains VMWare vSphere virtualization infrastructure, including ESXi hosts, vCenter Server, and vSAN. Analyze user's requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications Incorporate new plans, designs and systems into ongoing operations. Develops system architecture and system design documentation Interacts with the Government regarding technical considerations and for associated problems, issues, or conflicts Responsible for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility. Requirements 10+ Years of experience in relevant field and a High School Diploma. Strong knowledge of virtualization technologies such as VMware, Hyper-V, or KVM Proficiency in configuring and optimizing virtual machines, storage, and networking Knowledge with configuration of virtual switches VLANs VMware Certified Professional certification Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients. Why ENS? Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers’ Compensation Relocation Assistance

Be part of an organization shaping the future of AI—we're looking for talented, motivated people to grow with us in this revolutionary field. We’re a results-oriented tech company looking for passionate learners who enjoy hands-on experience. Want to develop AI and software skills in a real-world environment? This is a structured and remote opportunity that supports both full- and part-time schedules. You’ll complete over 600 hours of guided technical work using professional tools and then transition into the AI Developer job market. This opportunity includes: 🖥️ Computer & Software Fundamentals • Discover how networks and computer systems function • Learn about algorithms, processor architecture, and digital security basics • Begin writing Python scripts 💻 Web & Application Development • Design interactive sites with HTML, CSS, and JavaScript • Apply libraries such as Bootstrap and React.js • Manage code using Git and GitHub 🧠 AI and Machine Learning Tools • Explore neural networks, machine learning, and data science • Utilize APIs from OpenAI and libraries like TensorFlow and Pandas • Build tools such as chatbots, sentiment analyzers, and automation systems • Train and evaluate ML models and visualize data • Learn Docker for containerization and team workflows 🗄️ Database and Backend Skills • Design and run SQL queries • Learn and apply CRUD operations to backend systems 🧪 Capstone Project • Complete a full software solution using all the above tools • Follow professional development workflows, debugging, and documentation • Simulate Agile/Scrum-based collaboration 🧰 Career Preparation • Practice whiteboarding and algorithm interviews • Build a standout technical résumé • Prepare to search and apply for AI and software jobs No previous experience needed. Remote learners welcome. Apply now: https://aitraining.compare

Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. We are seeking a highly skilled MLE/MLOps Engineer with a strong programming background and solid experience in software engineering practices. The ideal candidate will play a critical role in building and maintaining robust machine learning infrastructure, ensuring seamless integration between ML models and production systems. Requirements Design, implement, and maintain scalable and reliable MLOps pipelines for model training, deployment, and monitoring. Collaborate with data scientists and software engineers to productionize ML models. Develop and maintain CI/CD workflows for ML systems and model lifecycle management. Work with real-time data using Apache Spark Streaming to support high-throughput data processing pipelines. Ensure high availability and performance of ML services in production. Manage and automate infrastructure using tools such as Docker, Kubernetes, and Terraform. Monitor and improve system performance, model drift, and data quality issues. Implement best practices in software engineering including code reviews, testing, and documentation. Required Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. 7+ years of experience in software engineering / ML engineering with a strong programming foundation (Python, Java, or Scala). Proven experience with MLOps tools and frameworks for model deployment and lifecycle management. Hands-on experience with Apache Spark Streaming and real-time data processing. Solid understanding of cloud platforms (preferably Azure). Experience with version control (Git), containerization (Docker), and orchestration (Kubernetes). Familiarity with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps. Preferred Qualifications Experience with Azure ML or other managed ML platforms (e.g., SageMaker, Vertex AI). Exposure to ML model performance monitoring and alerting tools. Knowledge of ML model testing, data validation, and reproducibility. Experience working in an Agile development environment. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote