Requisition Number: 2355807 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. Join the Contact Center Voice modernization journey modernizing a mission critical voice channel that supports 300M+ calls annually. You'll help migrate legacy contact center capabilities off on prem platforms and into multi cloud (AWS + Google) solutions-building scalable voice experiences, accelerating feature migrations, and strengthening reliability and governance for AI enabled customer interactions. If you enjoy solving complex, high impact engineering problems with modern cloud stacks (CI/CD, microservices, automation) and shaping "responsible AI" practices in production, this role is for you. 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: - Lead cloud migrations of traditional voice contact center capabilities from legacy platforms to Google Dialogflow and Amazon (Connect/Lex) solutions, partnering across engineering, platform, and business teams - Own solution design and delivery for cloud-based contact center components (voice bot/IVR workflows, orchestration/integrations, deployment patterns), ensuring production readiness end-to-end - Rapidly learn and apply new ecosystem patterns to accelerate bot + IVR modernization-adapting to evolving requirements and scaling reusable approaches across workstreams - Drive cross-functional execution: collaborate with Platform/Steering/CCaaS teams, SRE/Operations, QA/Perf, and business stakeholders to align dependencies and deliver outcomes - Establish and evolve DevOps best practices for build/release automation, observability, and environment hygiene using modern CI/CD and source control practices (e.g., GitHub-based workflows) - Build and enhance automation tooling, including the Bot Certification Tool, to streamline governance, compliance workflows, and developer productivity across contact center engineering - Engineer for reliability, scalability, and security: design with least-privilege, resilient architectures, performance considerations, and solid operational monitoring for production voice experiences - Partner with SI vendors and internal teams to define deliverables, execute migration plans, and ensure value realization through measurable outcomes - Operationalize "Responsible AI" by supporting a Machine Learning Review Board approval process-embedding governance, traceability, and risk controls into AI/LLM-enabled 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: - 3+ years of experience building and operating cloud-native solutions with DevOps practices (CI/CD, automated testing, release management, and monitoring) in production environments - 3+ years of experience delivering digital contact center/channel solutions at scale (Voice Bot, Chat Bot or related orchestration/integrations) with production support accountability - 3+ years of experience implementing AI/ML capabilities, including practical exposure to LLM-enabled features (prompting/guardrails, evaluation, monitoring, or governance) in enterprise settings - 3+ years of hands-on experience with AWS and/or GCP, including cloud architecture fundamentals. - 3+ years of experience building modern applications and services using React and Python/JavaScript/NodeJS, including microservices or micro-app patterns - Demonstrated ability to quantify engineering and operational tradeoffs (cost, reliability, performance, and maintainability) and communicate those decisions to stakeholders - Proven track record of innovation/optimization in established bot or IVR landscapes-e.g., automation accelerators, reusable frameworks, or delivery improvements that reduce cycle time or risk - Proven solid cross-functional collaboration skills including experience working with platform teams, product/business partners, and SI vendors to deliver outcomes Preferred Qualifications: - Direct experience with Amazon Lex / Amazon Connect and/or Google Dialogflow implementations for enterprise voice workflows - Experience building internal developer platforms/tools (e.g., governance workflows, certification pipelines, UI-driven tooling) - Experience supporting large-scale voice modernization programs (migration roadmaps, dependency management, operational readiness) - Experience with networking, IAM/security controls, observability, and reliability patterns *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 $91,700 to $163,700 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

• design and implement robust AI/ML applications that drive innovation and business insights • collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into products and services • ensure high performance and scalability of applications

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer Expert Type: Contract Compensation: $90–$140/hour Location: Remote Commitment: 40 hours/week Role Responsibilities - Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. - Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. - Evaluate MLOps tasks and solutions and provide clear, written technical feedback. - Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. - Hands-on production experience with JAX and/or PyTorch at scale. - Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton. - Demonstrable career progression. - Ability to engage reliably for at least 40 hours/week during weekdays. - Strong written communication skills and the ability to explain complex technical decisions clearly. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Entwicklung und Evaluation von KI-, Machine-Learning- und Deep-Learning-Modellen zur Analyse multisensorischer Daten. • Verarbeitung, Analyse und Qualitätssicherung großer Sensor- und Umweltdatensätze (z. B. Audio-, Bild-, Spektral- und IoT-Daten). • Konzeption und Implementierung von Datenpipelines für die Erfassung, Vorverarbeitung und Auswertung von Sensordaten. • Entwicklung von Prototypen für Edge-AI-, IoT- und Cloud-Anwendungen im Bereich intelligenter Sensorsysteme. • Mitarbeit an Forschungs- und Entwicklungsprojekten sowie Dokumentation, Visualisierung und wissenschaftliche Auswertung von Ergebnissen.