• Design, train, and deploy machine learning models across use cases such as recommendation systems, churn prediction, fraud detection, and behavioral scoring • Build modular ML pipelines for feature engineering, training, validation, and inference • Implement deep learning and NLP models, including transformer-based architectures for text and sequence data • Develop and deploy LLM-based applications • Integrate models into production systems via REST/gRPC APIs and microservices • Implement MLOps pipelines using CI/CD, versioning, and monitoring tools • Monitor model performance, detect drift, and implement automated retraining strategies • Optimize models for latency, throughput, and cost in cloud environments • Work closely with Data Engineers to ensure scalable and efficient data access • Evaluate and integrate new AI frameworks and tools to continuously improve performance

Title: AI/ML Software Developer Location: United States Job Description: Working time Full-time Description & Requirements Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results. This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed. This position is remote and requires a Secret security clearance or higher. Active TS/SCI highly preferred. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems - Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts - Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices - Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies - Supports system accreditation, documentation, testing, and evaluation activities - Collaborates with Government and contractor teams across development, integration, and readiness environments - Participates in Agile program increment (PI) planning and activities requiring periodic travels Job-Specific Minimum Requirements: - Active Secret clearance or above required. Active TS/SCI highly preferred. - Bachelor’s degree in related field required - A Master’s degree may substitute for 2 years of experience - 5 years of experience in the functional area - 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering. - Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements. - 3 years of experience testing web-based applications. - 3 years of experience participating in software development programs or projects. - Demonstrated experience with relational databases, RESTful API development and communication, and system integrations. - 5 years of experience with Jenkins and GitLab. - Experience structuring data so it can be integrated into machine learning technologies or AI capabilities. Preferred Skills and Qualifications: - Experience using Agile Test-Driven Development - Experience integrating into DoD DevSecOps environments - 5 years of experience with CI/CD software development - Experience supporting RMF accreditation and security assessment activities - Experience with model monitoring, explainability, and Responsible AI practices - Experience integrating AI/ML services into operational dashboards or decision support platforms #techjobs #clearance #veteranspage #USCYBERCOM Minimum Requirements TCS195, T3, Band 6 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews. Minimum Salary $ 110,000.00 Maximum Salary $ 145,000.00

Requisition Number: 2340554 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 health care. 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 health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities We are seeking a dynamic and visionary Sr Director of AI/ML Engineering to lead the development and execution of a transformative AI strategy within the healthcare sector. This role blends strategic leadership with deep technical expertise, requiring hands-on involvement in designing and deploying advanced AI and machine learning solutions that drive clinical and operational excellence. You will spearhead innovation through cutting-edge research, establish ethical AI governance, and ensure scalable, reliable integration of AI technologies across complex healthcare systems. Collaborating with cross-functional leaders, you will translate critical healthcare challenges into impactful AI initiatives, while mentoring top talent and presenting strategic insights to executive leadership. This is a unique opportunity to shape the future of AI in healthcare and improve outcomes at scale. 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: - Develop and execute org-wide AI strategy and roadmap aligned with business objectives and growth initiatives - Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions - Drive innovation through research and adoption of cutting-edge AI technologies and methodologies - Establish AI governance frameworks, ethical guidelines, and best practices across the organization - Personally design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms - Collaborate with cross-functional leadership to translate business needs into AI strategy - Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness - Spearhead integration of AI solutions with existing systems and applications - Establish KPIs and performance metrics for AI solutions and drive continuous improvement - Present AI vision, roadmaps, and results to executive leadership and board members - Lead research initiatives and partnerships to maintain competitive advantage in AI capabilities - Mentor, develop, and retain top AI talent while building a culture of innovation 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: - Master's degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field - 15+ years of experience in AI/ML with demonstrable career progression from individual contributor to technical leadership roles - Hands-on experience with machine learning libraries and frameworks - Current and extensive hands-on experience with modern AI tools, frameworks, and methodologies - Experience with data analysis tools and techniques - Experience implementing machine learning fairness and bias mitigation techniques - Public cloud experience (Azure, and/or GCP, and/or AWS) - Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles - Proven track record of hands-on development and implementation of enterprise-scale AI SaaS solutions with measurable business impact - Demonstrated ability to balance strategic leadership with hands-on technical contribution - Demonstrated solid and current programming skills in Python or other relevant programming languages - Proven ability to build and scale AI infrastructure and operations Preferred Qualifications: - PhD or Master's degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field - Active practitioner with current, deep technical expertise in AI technologies and applications; Natural Language Processing (NLP) and/or Large Language Models (LLM) - Healthcare experience and FinTech solutions - Proven exceptional leadership, communication, and executive presence skills *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 $159,300 to $273,200 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.

Role Description We’re looking for a Machine Learning Engineering Intern to join us for a 12-week, part-time engagement (30 hours/week). This is a paid, fully remote role based in the U.S. This isn’t a typical internship. You’ll work on a high-impact, greenfield project: designing and building agentic tools to automate workflows across our HR consulting and recruiting operations. Think LLM-powered assistants, task automation pipelines, and intelligent systems that reduce manual effort and improve decision-making. You’ll operate with a high degree of ownership and autonomy — ideal for someone who thrives in fast-paced environments and is excited to build, experiment, and ship quickly. What You’ll Do - Build intelligent systems: Design and develop agent-based tools to automate core business workflows (e.g., candidate sourcing, data enrichment, reporting, internal ops). - Prototype rapidly: Translate ambiguous problems into working ML/AI solutions using modern frameworks and APIs. - Work with LLMs: Implement prompt engineering, orchestration, and evaluation techniques to improve system performance. - Collaborate directly: Partner with STRATIVIS leadership to identify high-leverage use cases and iterate quickly. - Ship and refine: Continuously test, improve, and scale solutions based on real-world usage and feedback. - Operate independently: Manage your time, priorities, and deliverables in a highly autonomous environment. Qualifications - Currently pursuing or recently completed a degree in Computer Science, Machine Learning, Data Science, or a related field. - Hands-on experience with Python and common ML/AI tooling (e.g., PyTorch, TensorFlow, scikit-learn, or similar). - Familiarity with LLM ecosystems (e.g., OpenAI APIs, LangChain, vector databases, prompt design). - Strong problem-solving skills and comfort working with ambiguous requirements. - Ability to move quickly from idea to prototype to production-ready solution. - Excellent communication skills and the ability to explain technical concepts clearly. - Highly self-motivated: you take initiative, seek ownership, and don’t wait for direction. - Comfort working independently in a remote, fast-paced, startup-like environment. Requirements - Compensation: $30/hour - Duration: 12-week internship - Hours: 30 hours per week - Work Environment: Fully remote (U.S.-based) - Project: High-impact project ownership with direct exposure to company leadership Benefits - Work on meaningful, real-world AI applications - not side projects. - Build systems that directly impact business performance and efficiency. - Gain hands-on experience with cutting-edge ML and agentic architectures. - Operate in a lean, high-trust environment where your work matters. - Be part of a team that values speed, ownership, and thoughtful execution.