Role Description Zur Verstärkung unseres Teams suchen wir einen Entwickler/Developer für ein auf 2 Monate befristetes Projekt. - React & TypeScript – Grundsolide - Supabase – Bereitschaft zur schnellen Einarbeitung - Grundlegendes Verständnis von Web-Entwicklung - Umgang mit KI-Tools als Entwicklungsassistent - Git & grundlegender Deployment-Workflow - Eigenverantwortliches Arbeiten Qualifications - Nice-to-haves: - Erfahrung mit Stripe (Webhooks, Checkout Session, Customer Portal) - Kenntnis von Supabase Row Level Security und Policies - Eine kleine eigene App oder ein Side-Project, das gezeigt werden kann - Erfahrung mit Resend, SendGrid oder ähnlichen transaktionalen E-Mail-Diensten - Erfahrung in der Erstellung einer Landing Page oder Marketing-Website mit React oder Next.js - Kenntnis von Tailwind CSS - Erfahrung mit KI-Coding-Tools wie Cursor, Copilot oder Claude Code Requirements - Fließende Deutsch- und Englischkenntnisse - Wohnsitz in Deutschland Benefits - Echte Projektverantwortung - Intensives Lernen in einem modernen Stack mit KI-Tools - Direktes Feedback vom Gründer - Flexible Remote-Arbeit - Referenz für deinen Lebenslauf: ein echtes SaaS-Produkt mit dir als Entwickler - Remote arbeiten zu 100% - Zeitsouveränes Arbeiten Company Description uNaice ist Pionier im Bereich der automatisierten Contentproduktion und automatisierten Datenaufbereitung, Datennormierung und Datenanreicherung. - Wir entwickeln Pioniere bei unseren Kunden, die sich hauptsächlich im Transformationsprozess befinden. - Unsere Kunden sind u.A. Top-Player im E-Commerce wie adidas, 11teamsports, Wago, TUI, C&A, sowie Verlage und internationale Hersteller. - Wir ermöglichen die automatisierte Erstellung von einzigartigen, conversionstarken und SEO-relevanten Produktbeschreibungen und Kategorieseiten in 110 Sprachen.

Requisition Number: 2344168 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: AI/ML Data Architecture Strategy & Leadership: - Partner with business, data science, and technology leaders to define and evolve enterprise AI/ML and data strategies, including data platforms, feature stores, and model lifecycle capabilities - Establish and enforce data architecture principles, standards, and governance frameworks that support trustworthy, compliant, and reusable data for AI/ML use cases - Lead the design of scalable data ecosystems that enable real-time and batch data processing, model training, inference, and monitoring - Drive alignment between data architecture, ML engineering, and platform engineering to ensure seamless integration of AI capabilities into digital products Data Platform & ML Ecosystem Design: - Assess current-state data and analytics environments to identify gaps in data quality, accessibility, lineage, and ML readiness - Design and own target-state architecture for modern data platforms (e.g., lakehouse, data mesh, or hybrid architecture) optimized for AI/ML workloads - Define reference architectures for key capabilities such as feature engineering, model training pipelines, MLOps, data observability, and model governance - Develop end-to-end data and ML platform roadmaps, including ingestion, transformation, storage, feature management, and model deployment layers Execution, Governance & Responsible AI: - Lead data and AI architecture governance to ensure alignment with enterprise standards, privacy, security, and responsible AI principles - Establish data quality, lineage, and observability practices to support reliable model performance and regulatory compliance - Align investments to prioritize reusable data assets, shared ML capabilities, and platform scalability - Communicate the value of AI/ML data platforms and outcomes to senior stakeholders, including executives and business leaders Innovation, Change & Talent Development: - Champion modern data and AI practices, including MLOps, DataOps, and continuous model improvement - Stay current with advancements in AI/ML, data platforms, and cloud-native technologies, applying them to enterprise use cases - Mentor and guide architects, data engineers, and ML engineers in building high-quality, scalable AI solutions - Foster a culture of experimentation, responsible innovation, and data-driven decision-making You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 10+ years of experience Data Architecture, or closely related roles, with a solid focus on building data platforms for advanced analytics and machine learning - 5+ years of experience in AI/ML data Architecture - 5+ years of experience delivering complex, cross-domain data and AI solutions within large, matrixed organizations - Proven experience designing and implementing modern data architectures (e.g., lakehouse, data mesh) in cloud environments (Azure, AWS, or GCP) - Hands-on or leadership experience with ML lifecycle components, including feature engineering, model training pipelines, deployment, and monitoring - Solid understanding of data governance, data quality, lineage, and privacy considerations in AI/ML contexts - Experience influencing senior leaders and translating AI/ML capabilities into business value - Ability to communicate complex technical concepts to non-technical stakeholders Preferred Qualifications: - Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field - Experience with MLOps frameworks and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Databricks) - Familiarity with feature stores, model registries, and experiment tracking systems - Experience with real-time data processing technologies (e.g., Kafka, Spark Streaming, Flink) - Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance frameworks - Experience with healthcare or regulated industry data environments - Prior experience mentoring or leading data, ML, or architecture teams *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Architect the automation platform: Design the end-to-end system that orchestrates package creation, test generation, and image building. Own the technical vision and make decisions that will scale. • Build AI-powered tooling: Develop LLM-integrated, agentic pipelines for manifest generation, test scaffolding, and validation. Design prompt architectures, evaluation loops, and quality gates. • Write production Go: This is a hands on role! You'll develop CLI tools, services, and integrations alongside your team. • Build quality tooling: Develop tooling and automation that improves customer reliability, including test generators, validation frameworks, and quality gates. • Shape the roadmap: Collaborate with engineering leadership to identify the highest-impact problems and ensure they get solved. Participate in long-term planning for the organization.

Role Description Transformar a vida das pessoas através de inovação e tecnologia, este é o nosso propósito. Estamos procurando um(a) Pessoa Desenvolvedora Full Stack que queira impulsionar a inovação conosco! Somos um Instituto de Pesquisa e Desenvolvimento formado por um time de pessoas incríveis, com ideias inovadoras, possuímos um ambiente descontraído e muito espírito colaborativo. Promovemos em nosso dia-a-dia um ambiente de desenvolvimento, onde os Atlantes são o nosso maior foco, por isso um dos nossos valores mais fortes é a “Valorização de Pessoas”. Não é à toa, que estamos entre as melhores empresas de TI para se trabalhar no Brasil, segundo o ranking do GPTW. Qualifications - Graduação em andamento em Computação, Análise e Desenvolvimento de sistemas ou áreas afins. Requirements - React - Typescript - Arquitetura de Microfrontend - C# - Git - REST Web Services - Metodologias Ágeis - Inglês avançado (participação em reuniões) Benefits - Experiência com desenvolvimento desktop Windows (desejável) Company Description DIVERSIDADE E INCLUSÃO: No Atlântico, a diversidade e a inclusão são compromissos inegociáveis. Como instituto dedicado à pesquisa, desenvolvimento e inovação, valorizamos e incentivamos a pluralidade de pensamentos e vivências, pois isso faz parte do nosso DNA. Nossa missão é promover um ambiente de trabalho inclusivo e diverso, buscando a equidade de oportunidades e o respeito à diversidade cultural, religiosa, étnico-racial, de gênero, de orientação afetivo-sexual e de pessoas com deficiência, voltado para a defesa e valorização dos direitos humanos. Atualmente, o Atlântico possui uma subárea dedicada à diversidade e inclusão, inserida na área de Pessoas & Cultura. Essa subárea trabalha em colaboração com o Comitê de Diversidade e Inclusão e com os grupos de afinidades, que são compostos por pessoas voluntárias e têm como propósito oferecer um espaço seguro para a troca de vivências, a representatividade e a construção de ações afirmativas. IMPACTO SOCIAL: O Comitê de Diversidade e Inclusão do Atlântico investe em ações de voluntariado com foco no impacto social positivo por meio do Grupo de Afinidade de Justiça Social. Nós nos concentramos em apoiar organizações do terceiro setor e projetos de impacto social que trabalhem com os públicos que são contemplados pelos pilares do Atlântico. Em 2022, lançamos nosso primeiro projeto voltado para a capacitação de pessoas em situação de vulnerabilidade social. O projeto-piloto foi realizado na Comunidade de Ancuri, em parceria com a organização Visão Mundial e a ONG Associação Santos Dias, e formou 40 jovens em Lógica de Programação Básica.