Machine learning Jobs in Tulsa, OK

Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems. - Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions. - Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support. - Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings. JOB SPECIFIC DUTIES: * Document AI Pipelines: Design systems to process, cleanse, and classify unstructured text and layout-heavy scanned documents. * Model Development: Train, tune, and optimize machine learning, deep learning, and neural network models for classification and prediction tasks. * Hybrid Systems Engineering: Write clean, modular Python code for ML modeling and collaborate on migrating performance-critical pipeline services to Rust. * Feature Engineering: Apply statistical feature engineering and advanced data preprocessing to complex, unstructured data formats. Minimum Requirements - Bachelors Degree or equivalent experience and 0+Years * Education: Bachelor's or advanced degree in Computer Science. * Mathematics: Strong academic foundation in linear algebra, calculus, and probability/statistics. * Programming & Libraries: High proficiency in Python (including SciKit-learn and PyTorch). * Machine Learning Foundations: Practical experience building, evaluating, and tuning supervised and unsupervised models (e.g., classification, clustering, neural networks, or embeddings). * Tools & Infrastructure: Experience with version control (Git/GitHub), containerization (Docker), and cloud environments (AWS or cloud alternatives). Preferred experience * Experience or strong interest in systems programming with Rust. * Familiarity with building synthetic data frameworks or simulating dataset risk metrics. * Understanding of model interpretability frameworks or feature importance analysis. 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,-please contact People Operations at applicantaccom@maximus.com. Minimum Salary $ 77,000.00 Maximum Salary $ 85,000.00 *