Serve as a teacher of record and primary instructor for Driver’s Education Classroom Course. Efficiently set up courses within the Learning Management System. Align and develop course materials to meet relevant standards. Differentiated instruction to meet the needs of all students. Maintain a safe and positive school environment using conflict resolution, collaboration, and positive reinforcement. Keep detailed records including grade books, progress reports, lesson plans, attendance records, and discipline records. Build and sustain positive relationships with students, parents, staff, school administration, and other stakeholders through effective communication. Maintain confidentiality concerning all student information. Attend and contribute to school activities as directed by the Administration such as professional development, staff meetings, teacher training, field trips, professional learning communities, and other face-to-face events. Perform other duties as assigned.

• Develop and own the global AI industry solutions strategy for Energy • Lead hands-on AI solutioning with strategic energy customers • Serve as the primary AI technical authority for Energy • Collaborate with Product, Engineering, and the Cloudera AI team to influence the AI product roadmap • Work with Enterprise AI Ecosystem partners to co-develop integrated energy solutions • Build and publish AI Accelerators (AMPs) and solution blueprints enabling rapid deployment of energy-specific AI use cases • Provide deep technical AI support during strategic sales cycles • Develop thought leadership including technical blogs, conference presentations, and solution demos positioning Cloudera as the enterprise AI platform of choice for energy • Represent Cloudera at key energy industry forums

Principal ML Architect (Client-Facing, Agentic AI) - Portugal Location: Portugal (Fully Remote) Build the Next Generation of AI Products with TensorOps TensorOps is an applied-machine-learning studio that helps organisations across Europe and North America design, train, and deploy production-grade GenAI systems. Our team blends research depth with pragmatic engineering, and we’re looking for a seasoned architect to lead our client engagements and technical teams in Portugal. What We’re Working On Conversational Copilots: Intelligent assistants that augment and empower knowledge workers. Autonomous Agentic Systems: Sophisticated agents that perform complex research, analysis, and actions for market-leading platforms. High-Performance Search & Recommendation: Building large-scale, low-latency recommender systems, ad-tech platforms, and search solutions. Decision-Support Tools: High-stakes systems for critical applications in healthcare, finance, and e-commerce. Core Stack Python, FastAPI, Docker TensorFlow, LightGBM, CatBoost Open-source & Commercial LLMs LangChain / LangGraph, Langfuse, LlamaIndex MLFlow, Kubeflow AWS and GCP The Role As a Principal ML Architect, you will be the senior technical leader for our most ambitious client projects. You will act as a trusted advisor to clients, a mentor to your engineering team, and the chief architect for complex AI systems. This is a hands-on leadership role that combines deep technical expertise with strategic client management. You will: Lead Technical Strategy & Architecture: Partner with clients to understand their core business challenges and design sophisticated, scalable solutions leveraging machine learning, search, and agentic AI paradigms. Manage Client Engagements: Serve as the primary technical point of contact for client stakeholders, translating complex concepts, managing expectations, and ensuring project success from a technical and business perspective. Lead & Mentor Engineering Teams: Guide a team of talented ML engineers, fostering a culture of excellence, providing technical direction, and taking ultimate responsibility for project delivery. Drive Innovation: Move beyond conventional ML to architect and implement cutting-edge agentic workflows, agent-based modeling, multi-agent systems, and complex RAG pipelines that deliver transformative value. Oversee the Full Project Lifecycle: Steer projects from initial discovery and architectural design through to deployment, monitoring, and iteration, ensuring solutions are robust, efficient, and production-ready. About You 8+ years of professional experience in machine learning and software engineering, with a proven track record of architecting and delivering large-scale, production-grade AI/ML systems. Significant client-facing experience is essential. You are comfortable and effective in a consulting or architectural role, capable of leading technical discussions with C-level executives and engineering teams alike. Proven leadership and project management experience. You have successfully led engineering teams and managed the technical delivery of complex software projects. Deep expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Expert-level understanding of modern AI systems. You have deep, practical experience with Large Language Models (LLMs), agentic design patterns (e.g., LangChain/LangGraph), and classical ML at scale. You can speak with authority on topics like Learning to Rank (LTR), recommender algorithms, RAG, and fine-tuning. Strong architectural foundation in software engineering, MLOps, and cloud infrastructure (AWS/GCP). You know how to design for scalability, reliability, and low-latency. A BSc/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience that demonstrates your deep expertise. Why TensorOps? Strategic Impact: Define the technical vision for high-stakes, real-world problems for industry-leading clients. Your work will directly shape client success and our company's reputation. Lead Expert Teams: Guide and collaborate with a team of experienced ML engineers and researchers. Shape our engineering culture and mentor the next generation of talent. Shape Our Future: As a senior leader, you will play a critical role in the direction of our technical offerings and growth. We offer competitive compensation and a clear path for professional and personal development.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The successful candidate will practice in the area of Radiology. - Fully remote - Covering WVU Medicine Community Hospitals - Additional earning opportunities - Excellent Benefits package Qualifications - MD or DO degree or foreign equivalent - Eligible for state medical license in Ohio, Pennsylvania, and Ohio - Completed a Radiology Residency program - Board certified/eligible in Radiology - All qualifications must be met by the time of appointment Company Description - WVU Health System is the state’s largest health system and largest private employer - Comprises 18 hospitals throughout the state and bordering states - Includes five institutes and provides management services for other local hospitals through affiliate agreements - Forbes ranks WVU Health System “Best Among America’s Large Employers” - Ranked Top 150 Places to Work in healthcare by Becker’s Healthcare - Recognized Commitment to Diversity, Equity, and Inclusion