Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. Lead the autonomous medical coding enablement in a SaaS platform by integrating machine learning and LLMs. Working closely with data scientists and software engineers through data extraction, research, training, and deployment to create a scalable production solution that can handle millions of medical charts daily. You will be responsible for architecture decisions, code reviews, and coordinating across teams. You will work with cutting edge models, LLM, software, and tools in a fast paced environment. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Lead end-to-end ML projects: problem definition, data strategy, feature engineering, modeling, evaluation, deployment, and monitoring - Architect scalable training and inference systems with strong SLAs, observability, and cost controls - Establish experimentation rigor: offline evaluation, A/B testing, guardrails, power analysis, and causal insights - Drive MLOps excellence: CI/CD for ML, reproducible pipelines, model registry and governance, automated retraining, drift/quality monitoring - Collaborate with product and design to translate ambiguous goals into measurable ML problems; define success metrics and attribution - Mentor and unblock engineers; conduct design and code reviews; set patterns for reliability, documentation, and testing - Partner with data engineering on feature pipelines, data contracts, and online/offline parity; champion data quality - Communicate tradeoffs and results to technical and non-technical stakeholders; influence roadmap and prioritization - Optional focus areas depending on interest and business needs: LLM applications (RAG, fine-tuning, evaluation/guardrails), recommendations/ranking, anomaly detection, forecasting 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: - Bachelor of Science or higher in Computer Science, Engineering, Statistics, or related field, or 4+ years of equivalent practical experience - 7+ years building and operating ML systems in production with a track record of shipped impact - 5+ years experience in C# or Python - 5+ years experience in Azure - 5+ years experience in supervised learning, feature engineering, evaluation methodology, bias/variance; deep learning and/or gradient boosting - 5+ MLOps: CI/CD for ML, containers, Kubernetes/serverless inference, model registries, reproducibility, and model monitoring - 2+ years experience LLMOps: prompt engineering, retrieval-augmented generation, fine-tuning, evaluation, and safety/guardrails Preferred Qualifications: - Domain experience in recommendations/ranking, time-series forecasting, anomaly detection, optimization, or reinforcement learning - Privacy, security, and responsible AI practices (GDPR/CCPA, PII handling, fairness) - Open-source contributions, publications, or patents; prior experience mentoring or tech leading small teams - Excellent communication and product sense; able to scope ambiguous problems and align stakeholders - Open-source contributions, publications, or patents; prior experience mentoring or tech leading small teams - Data engineering for ML: ETL/ELT, SQL, distributed processing (e.g., Spark), and feature pipelines - Experimentation: A/B testing design/analysis, guardrail metrics, basic causal inference *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 $112,700 to $193,200 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. #OptumTechPJ

• Diseñar y desarrollar soluciones avanzadas de Inteligencia Artificial Generativa y agentes inteligentes orientados a optimizar los procesos del cliente. • Implementar arquitecturas técnicas que sean robustas, seguras y altamente escalables en entornos de producción. • Integrar de manera fluida las nuevas soluciones de IA con los sistemas corporativos y bases de datos empresariales ya existentes. • Participar activamente en todas las fases del ciclo de vida del proyecto, abarcando el desarrollo, testing, validación y la documentación técnica. • Monitorizar, evaluar y optimizar de forma continua el rendimiento de las soluciones de IA desplegadas en los entornos cloud. • Resolver incidencias técnicas complejas y asegurar la estricta aplicación de buenas prácticas de seguridad y gobierno de la Inteligencia Artificial. • Contribuir proactivamente a la creación de componentes reutilizables y a la estandarización de procesos dentro del equipo de ingeniería.

AI or ML Engineer - Remote Location: - USA Remote - Eden Prairie, MN; Minneapolis; Washington, D.C. area (Hybrid) Overtime status: Exempt Travel: No Job Description: 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. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. As an AI/ML Engineering, you will be an important part of teams responsible for building and operating scalable machine learning platforms and production ML systems across the enterprise. You will drive the design and implementation of ML infrastructure, model lifecycle management systems, and MLOps platforms that enable reliable experimentation, deployment, monitoring, and governance of machine learning and generative AI models. This role requires deep experience in MLOps and cloud-based ML platforms, and the ability to collaborate closely with data science, engineering, and platform teams. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Build enterprise ML and GenAI platforms supporting experimentation, model training, evaluation, deployment, monitoring, and lifecycle management - Productionize machine learning and generative AI models using batch and real-time inference architectures - Build and operate MLOps and LLMOps pipelines including CI/CT/CD workflows for model testing, validation, versioning, and promotion across environments - Develop scalable, cloud-native ML infrastructure using Docker, Kubernetes, and cloud ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI - Build and manage LLM application stacks, including LLM gateways, orchestration layers, model routing, caching, and cost/performance optimization - Implement model monitoring and lifecycle management systems to track drift, latency, bias, and data quality while enabling automated retraining - Ensure governance, security, and compliance of ML systems including lineage, auditability, reproducibility, and observability - Partner with data scientists, data engineers, and software engineers to define production ML standards and scalable AI solutions 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: - 5+ years of experience in machine learning engineering, MLOps, or AI platform engineering building production ML systems and scalable model pipelines - 4+ years of experience programming in Python for ML systems with familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn - 3+ years of experience working with ML lifecycle platforms such as MLflow, Kubeflow, SageMaker, Azure ML, or GCP Vertex AI - 3+ years of experience building cloud-native ML platforms using Docker, Kubernetes, and distributed systems - 3+ years of experience working with distributed data processing and orchestration tools such as Spark, Ray, Airflow, Dagster, or Prefect - 3+ years of experience with Generative AI and LLMs, including prompt engineering, prompt chaining, and fine-tuning (instruction tuning and LoRA/qLoRA) Preferred Qualifications: - Master's degree in Computer Science, Engineering, Data Science, or related discipline - Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) - Experience working in regulated or enterprise environments, with emphasis on security, compliance, and responsible AI - Experience with vibe coding tools, such as Cursor, Claude Code, and Replit - Experience operating multi-cloud or hybrid ML platforms - Experience in Healthcare or Life Sciences - Knowledge of LLM cost optimization and performance tuning techniques - Exposure to knowledge graphs or hybrid search - Contributions to open-source ML or MLOps tooling - 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 $98,547 to $175,978 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. #OptumTechPJ

Role Description ¡Buscamos Docente Virtual de Manicure y Estilismo Profesional! ¿Eres experto/a en el arte de la belleza y te apasiona transformar vidas a través de la enseñanza? ¡Esta es tu oportunidad! Como docente experto, serás el guía en el camino al éxito de nuestros alumnos, encargándote de: - Impartir clases virtuales de alto impacto sobre técnicas de manicure, diseño de uñas, corte, colorimetría y peinado. - Brindar asesoría personalizada y acompañamiento técnico en el proceso de aprendizaje práctico. - Evaluar y retroalimentar el progreso de los alumnos, asegurando que dominen las competencias del programa. - Dominar y enseñar el temario integral, que incluye: - Manicure: Anatomía de la uña, manicura rusa, aplicación de esmaltado semipermanente, acrílico, gel y nail art. - Estilismo: Morfología del rostro, técnicas de corte (dama y caballero), colorimetría avanzada, peinados profesionales y tratamientos capilares. Qualifications - Título técnico o profesional en Estética, Cosmetología, Estilismo o carreras afines. - Trayectoria comprobable en salones de belleza, estudios de uñas o como estilista independiente. - Dominio de herramientas de peluquería y productos de manicure de última generación. - Excelentes habilidades de comunicación, pedagógica y manejo de herramientas digitales para clases online. Requirements - Salario competitivo en Dólares. - Trabajo 100% Remoto: Desde la comodidad de tu estudio u hogar. - Horario Part-time: Lunes a Viernes de 8:00 a.m a 12:00 p.m y sábados de 17:00 p.m a 21:00 p.m. Benefits - Salario competitivo en Dólares. - Trabajo 100% Remoto: Desde la comodidad de tu estudio u hogar. - Horario Part-time: Lunes a Viernes de 8:00 a.m a 12:00 p.m y sábados de 17:00 p.m a 21:00 p.m. Company Description Aprende Institute is the leading online education platform for vocational skills in Latin America and the United States' Hispanic market. The company offers a wide array of online training and courses and has enrolled over 300,000 students. Aprende empowers learners to transform their interests into income by starting a new business or a new career. It integrates technology and digital media with traditional instructor-led classroom activities, giving its students a flexible and personalized learning experience, accessible on any device, that monitors students' progress and encourages engaged learning, skill mastery, and course completion. Furthermore, Aprende's tech platform and tailored content solutions assist corporations training and motivating their workforce and clients with unique experiences.