Role Description The E-learning Developer supports Orbis’s goal of ending avoidable blindness by creating e-learning content for health care professionals to improve their knowledge and skills to detect, diagnose, and treat blinding eye conditions. The E-learning Developer is responsible for the hands-on technical construction, programming, and maintenance of multi-language online courses for eye health professionals delivered through Orbis’s Cybersight platform. Cybersight’s Learning Management System currently has over 140,000 users and a collection of 150+ custom online courses. The successful candidate must be able to use adult education/instructional design theories and appropriate technologies to create engaging courses for eye professionals around the world, the majority of whom are in low- and middle-income settings. Qualifications - Diploma/Bachelor’s degree or equivalent experience in L&D, communications, adult education/instructional design, educational technology, or information and communications technologies. - A minimum of 3 years' experience in e-learning content creation using instructional design and adult learning principles. - Advanced-level proficiency in professional e-learning authoring platforms, with expert-level hands-on experience in Articulate Rise 360 and Articulate Storyline 360. Proficiency in iSpring and Articulate 360 platforms is highly valued. - Proven track record of developing and publishing interactive courses using industry-leading authoring tools, with expertise in SCORM and xAPI compliance for LMS integration. - A minimum of 3 years’ experience working with Learning Management System platforms, including end-user support. - Demonstrated expertise in developing and testing responsive, multi-device compatible courses (desktop, tablet, mobile) using advanced authoring tool features and rigorous QA practices. - Hands-on experience in using HTML5/CSS3, custom JavaScript in e-learning courses to enhance interactive elements, multimedia, etc. - Practical experience implementing SCORM 1.2 and 2004 standards, along with xAPI/Tin Can API for advanced learning analytics and LMS integration. - Experience working in medical education desirable. Requirements - Genuine interest in public health and “technology for good”. - Tech-savvy: comfortable diagnosing and solving technical problems (e.g. using Chrome Developer Tools, editing HTML and JavaScript). - Excellent interpersonal and communication skills (verbal and written); ability to interact and collaborate effectively with people of diverse cultural and professional backgrounds. - Strong organizational & planning skills with keen attention to detail: ability to manage multiple tasks and details efficiently while meeting deadlines. - Ability to work independently, with minimal supervision, and exercise independent judgement regarding operational decisions, processes, or systems. Benefits - Orbis is an Equal Opportunity Employer. - We are committed to providing equal employment opportunities to all employees and applicants, regardless of race, color, religion, gender, sexual orientation, disability, veteran status, or any other protected characteristic. - We encourage applications from qualified individuals of all backgrounds, cultures, and communities, particularly those underrepresented in the international nonprofit sector. - Orbis is proud to foster an environment where everyone can contribute meaningfully and thrive.

Role Description You will join a global data ecosystem built on Google Cloud Platform, working on large-scale data and machine learning initiatives. The environment focuses on industrializing ML solutions—moving beyond experimentation into robust, production-ready systems. You will collaborate closely with Data Engineers, DevOps, and product teams to deploy, scale, and monitor ML models in real-world applications. - Design, build, and deploy machine learning models into production on GCP - Lead development of scalable ML pipelines for data ingestion, processing, and inference - Implement model lifecycle management using MLflow and DVC - Containerize ML applications using Docker and deploy via Kubernetes - Collaborate with DevOps teams to build CI/CD pipelines using GitLab - Optimize model performance, monitoring, and reliability in production environments - Contribute to architecture decisions and best practices for ML systems - Mentor junior engineers and promote engineering excellence across teams Qualifications - Strong proficiency in Python (advanced level) - Proven experience deploying ML models into production environments - Solid experience with Google Cloud Platform (ideally Vertex AI) - Hands-on experience with Docker and Kubernetes - Experience with ML lifecycle tools (MLflow, DVC) - CI/CD experience (GitLab preferred) - Experience working in Agile/SCRUM environments - Knowledge of R for data analysis - Experience working with large-scale data ecosystems (Data Engineering exposure) - Infrastructure as Code (IaC) experience - Exposure to Azure environments Benefits - Full-time contract - Remote position based in Málaga, Spain - Possibility to manage work permits - Training and career development opportunities - Perks & Benefits: smart office, private medical insurance, flexible remuneration, extra holidays - Be part of a multicultural team working on international projects Company Description Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. - Headquartered in Paris and operating globally - Combines technology, innovation, and empowerment to deliver measurable results for clients - Strong presence in the IT and consulting landscape for over 22 years - On track to reach €1 billion in revenue this year - Core Areas of Expertise: - Data & Technologies: Design and implement large-scale, end-to-end architecture and data solutions - Cloud & Application Services: Integrate leading platforms to help clients transition to the cloud - Management & Innovation Consulting: Lead business and digital transformation initiatives

Role Description If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale. This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that. - Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness. - Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance. - Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions. - Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments. - Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference. - Perform additional duties as assigned. Qualifications - Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience. - 3+ years of prior computer vision experience. - Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. - Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets. - Experience optimizing high-latency models for real-time inference. - Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle. - Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving. Preferred Qualifications - Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on. - Experience designing evaluation frameworks for complex visual data. Benefits - Multiple medical plans including a high deductible, low cost health plan. - Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance. - Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance. - Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation. - Employee Stock Purchase Program with additional opportunities to earn stock in the Company. - Retirement planning through the Company’s 401(k). Company Description ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.

Role Description If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale. This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that. - Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness. - Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance. - Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions. - Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments. - Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference. Qualifications - Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience. - 5+ years of prior computer vision experience. - Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. - Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets. - Experience optimizing high-latency models for real-time inference. - Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle. - Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving. Preferred Qualifications - Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on. - Experience designing evaluation frameworks for complex visual data. - Experience leading technical design reviews. Benefits - Multiple medical plans including a high deductible, low cost health plan. - Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance. - Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance. - Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation. - Employee Stock Purchase Program with additional opportunities to earn stock in the Company. - Retirement planning through the Company’s 401(k). Company Description ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey.