• Establish a development framework consisting of task breakouts, milestones, deliverables, and risk mitigation strategies for the proof-of-concept. • Participate in discussions involving current intake workflows, decision-making processes, and the allocation of State labor resources. • Contribute to the identification of intake process shortcomings and prioritize them based on their impact on children and State resources. • Lead the development of a new intake process that leverages natural language processing and machine learning algorithms. • Evaluate architectural, computational, and data source trade-offs for each functional block, considering technical, schedule, and security risk factors. • Create and lead the design review process, evaluating functional design, risk factors, data sources, and proposed methods of demonstration. • Oversee prototype implementation through weekly status updates and gate reviews, providing guidance to mitigate risk and remove roadblocks. • Provide conference room demonstration support over 3 to 4 days, showcasing how the prototype application can improve child outcomes and reduce State resource usage. • Capture key stakeholder feedback on technical aspects of the application during the demonstration phase. • Contribute to the development of a roadmap for integrating the developed technology into the State's existing ecosystem of technologies and processes.

• Coordinate the technology team, ensuring the quality and integrity of information; • Perform data analysis using Business Intelligence and Data Mining techniques; • Manage the database and implement Big Data solutions; • Lead data analysis projects and the extraction of insights; • Troubleshoot issues related to data manipulation and interpretation; • Foster effective communication between the team and other areas of the company.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields, e.g. Algebra, Calculus, Number theory, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

• Sumarse a nuestro proyecto de matching inteligente entre médicos y productos farmacéuticos • Evolución técnica: transición gradual hacia GenAI/LLMs • Valorar el criterio técnico y las propuestas de mejora • Trabajo 100% remoto desde Argentina