About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation , developing custom metrics and frameworks to measure learning effectiveness and improve model reliability. Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions. Prototype and productionize novel model interactions , leveraging emerging research and capabilities to advance the tutor’s intelligence. Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior. Share knowledge and elevate teammates , contributing to a culture of clarity, simplicity, and continuous learning. Qualifications Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. Global retreats: Participate in international company retreats, fostering a global team spirit. Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

• Develop and train Computer Vision models for image and video analysis. • Implement solutions for object detection, image classification, segmentation, and tracking. • Prepare and manage datasets, including data cleaning, labelling, and augmentation. • Optimize models for GPU performance, inference speed, and scalability. • Deploy AI models into production using APIs and containerized services. • Integrate Computer Vision models with broader AI and analytics platforms. • Collaborate with software engineers, data scientists, and product teams. • Maintain documentation and ensure code quality and reproducibility.

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. As a rapidly scaling Series A startup that raised $34 million in funding, we're proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth. About the Role We're looking for a hands-on AI Principle Engineer to help us build the future of AI at Improvado. It’s a unique opportunity for someone excited to define the product vision based on real user needs and directly build the systems that power it. You’ll work closely with our CEO (who’s also our Chief Product Officer with a strong technical background) to drive the direction of our AI features. From high-level strategy to low-level implementation, you’ll bridge product thinking and deep engineering. You'll also help guide a small, talented team of AI engineers — mentoring, setting direction, and writing production code alongside them. What You’ll Do Co-own the AI product and technical roadmap with our CEO Serve as the link between engineering and the business: ensure the team understands not just what to build, but why it matters Design and implement key AI-powered features from the ground up Drive technical architecture decisions and ensure high code quality and reliability Write scalable, production-ready code and build intelligent agents using modern LLM frameworks Define and track success metrics — from model performance to user satisfaction and adoption What We’re Looking For A catalyst for action with a relentless drive for execution. We need a doer who thrives on speed and velocity, takes absolute ownership of outcomes, and is energized by a fast-paced environment Strong product instincts and user empathy — you think beyond models and love solving real problems Able to clearly communicate business context and product priorities to engineers — helping them build the right things, not just functional code Deep experience building AI/ML systems, ideally with LLMs in production Familiarity with the modern AI/LLM ecosystem Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model evaluation pipelines Clear communicator, comfortable leading discussions and making decisions Previous startup or fast-paced environment experience is a plus What It’s Like to Work Here At Improvado, we’re a collaborative and ambitious team that moves fast and learns even faster. We believe in: Velocity and speed of delivery Clear ownership and high trust Working on problems that matter Staying flexible while delivering high-quality work Building great things together, not in silos We work across multiple time zones, with most collaboration centered around U.S. hours. We’re remote-first but value real-time collaboration and proactive communication. What We Offer Remote-first environment Competitive compensation Paid PTO and holidays Professional development reimbursement Stock options

About JazzX AI: Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done. We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option. We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries. This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup. About SAIGroup : SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one. Learn more about JazzX AI: Website: https://jazzx.ai LinkedIn: https://www.linkedin.com/company/jazzx-ai Learn more about SAIGroup: Website: https://saigroup.ai About the Role We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect. In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL-driven AI reasoning models and systems that power next-generation enterprise AGI platform. You will lead the design, development, and optimization of cutting-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high-throughput training and real-world scenarios and enterprise use cases end to end. Ultimately, your work will be critical in bridging research and production, ensuring that the latest RL advancements translate into reliable, impactful, and enterprise-ready AI solutions. Key Responsibilities Architecture & Design: Define and drive the end-to-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving. Research & Development: Apply cutting-edge RL techniques (policy optimization, model-based RL, hierarchical RL, multi-agent RL, etc) to solve complex enterprise problems. Scalability & Infrastructure: Design distributed training systems, leverage cloud-native infrastructure, and optimize for performance, reproducibility, and cost-efficiency. Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. Evaluation & Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in deployed RL models. Compliance & Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. Required Qualifications Preferred Qualifications PhD in Computer Science, Machine Learning, Robotics, or related field. Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems. Contributions to open-source RL frameworks or publications in top-tier conferences (NeurIPS, AISTATS, ICML, ICLR, AAAI). Background in safety, alignment, or explainability of RL agents. We offer a competitive salary ranging from USD 207,000 to USD 290,000 , along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Why Join JazzX AI - What draws people to JazzX AI is the opportunity to build something truly foundational. We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era JazzX AI brings together vision, deep technology, and purpose . This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments. If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.