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 statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - 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 statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, 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., PStat, CAP, SAS Certifications) 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 $73 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.

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 statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - 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 statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, 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., PStat, CAP, SAS Certifications) 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 $73 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.

*This position does not provide sponsorship for employment now, or in the future, in any format. Position Summary: The Applied Artificial Intelligence Engineer is part of the Education Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine. The Education Design & Informatics Team (EDI) is responsible for technology, instructional design, data infrastructure, and quality improvement for Vanderbilt's MD program and affiliated health professions education. We maintain a comprehensive education data lake in Databricks, a custom digital learning platform (VSTAR), and a vision for AI-augmented medical education that we're ready to operationalize. We're seeking an AI Engineer to help us realize our vision for precision medical education—using data and AI to personalize learning, predict learner needs, and improve educational outcomes at scale. You'll be our first dedicated AI/ML role, working alongside a data engineer, full-stack developers, and instructional designers to build intelligent features into our products. Near-term priorities include LLM-powered tools for learners and educators, semantic search across educational content, recommendation systems for personalized learning pathways, and integration of AI capabilities into VSTAR. As our AI maturity grows, you'll also contribute to predictive modeling efforts, including early identification of at-risk learners and competency progression analytics. This is a high-ownership, foundational role. You'll shape AI strategy and implementation from the ground up, taking features from concept through production deployment. You'll work closely with educational leadership to identify opportunities where AI can meaningfully improve how we train future physicians. This position is fully remote and reports directly to the Director of Education Design & Informatics. Open to hybrid availability if interested. About the Work Unit: The Office of Health Sciences Education (OHSE) administers the degree programs of the Vanderbilt University School of Medicine (VUSM) and supports its mission to catalyze impactful discovery, servant leadership, and lifelong learning. OHSE staff provide comprehensive support across academic program administration, educational design and informatics, student services, and financial and operational oversight. In alignment with VUSM’s commitment to excellence, OHSE works to prepare future leaders in the health professions who are equipped with the knowledge, skills, and judgment needed to deliver safe, effective, ethical, and patient-centered care. Our students are encouraged to think critically, foster innovation, and understand the broader systems and social factors that shape health outcomes—empowering them to advocate for positive change in both local and global communities. Key Functions and Expected Performance: AI Application Development • Design and build AI-powered features for VSTAR and other EDI platforms, including intelligent tutoring capabilities, semantic search, content recommendations, and LLM-based tools for learners and educators • Apply appropriate AI implementation patterns and strategies such as RAG architectures, agentic workflows, prompt engineering strategies, and LLM orchestration patterns appropriate to educational use cases • Develop backend services and APIs that expose AI capabilities for integration into VSTAR and other applications, working with the development team to determine appropriate integration patterns • Evaluate vender versus open-source AI products and services based on performance, cost, and reliability considerations • Ensure responsible AI practices, including appropriate guardrails, content filtering, and transparency in AI- assisted features ML Engineering & Production Systems • Build and maintain ML pipelines in Databricks for feature engineering, model training, and evaluation • Deploy models and AI services to production with appropriate monitoring, logging, and error handling • Implement MLOps practices proportionate to our maturity: version control, testing, documentation, and reproducibility • Ensure performance, reliability, and scalability of AI-powered services • Own the full lifecycle of deployed AI features, including maintenance, iteration, and retirement • Contribute to predictive modeling initiatives addressing educational challenges such as learner performance prediction, early intervention identification, and resource optimization Collaboration & Strategy • Partner with data engineering to ensure AI systems integrate cleanly with our data infrastructure • Collaborate with software developers to integrate AI features into existing applications • Proactively communicate progress, challenges, and decisions to the team through regular check-ins, documentation, and asynchronous updates • Work with product and educational leadership to identify high-impact AI opportunities • Contribute to EDI's AI strategy and help establish best practices for responsible AI development in medical education • Maintain clear documentation and support knowledge sharing across the team • Stay current with developments in AI tooling, particularly as they apply to education and knowledge work Education and Certifications: • A Bachelor’s degree in a related field from an accredited institution of higher education is necessary. Experience and Skills: • 5 – 7 years of experience i s required. • Experience in applied machine learning, AI engineering, or a related field (3+ years) is necessary. • Strong Python skills and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow (3+ years) i s necessary. • Hands-on experience building applications with LLMs, including prompt engineering, embeddings, retrieval-augmented generation, and agents (1+ years) is necessary. • Experience developing backend services (FastAPI, Flask, or similar) and RESTful APIs (1+ years) is necessary. • Track record of deploying AI or ML features to production environments (1+ years) is necessary. • Comfort with SQL and working with data pipelines (3+ years) is necessary. • Ability to communicate technical concepts clearly to non-technical audiences (3+ years) is necessary. • Experience with Databricks and Azure cloud services (1+ years) is preferred. • Familiarity with MLOps tools and practices (MLflow, model registries, CI/CD for ML) (1+ years) is preferred. • Experience with vector databases (Pinecone, Weaviate, Chroma, or similar) (1+ years) is preferred. • Experience working with multiple LLM providers or open source LLMs and evaluating tradeoffs (1+ years) is preferred. • Background in building predictive models (classification, regression, forecasting) (1+ years) is preferred. • Experience in education, healthcare, or other mission-driven sectors (1+ years) is preferred. • Familiarity with the unique considerations of AI in educational contexts (pedagogical alignment, learner privacy, appropriate automation) (1+ years) is preferred. Demonstrated self-direction and ownership mentality in previous roles is necessary. At Vanderbilt University , our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of “America’s Best Large Employers” as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice. We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story. Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.

Company Overview Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact. Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem-solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector. Job Summary and Responsibilities Acentra Health is looking for a Machine Learning Engineer/AI Engineer to join our growing team. Job Summary: Work at the intersection of applied AI, data science, and software engineering, building, optimizing, and integrating machine learning (ML) and large language model (LLM) solutions. This role emphasizes generative AI (GenAI), retrieval-augmented generation (RAG), and natural language processing (NLP) to drive innovation, improve healthcare outcomes, and create operational efficiencies. The ideal candidate has experience deploying ML/LLM solutions in production, exposure to MLOps/LLMOps, and a strong ability to mentor engineers. They combine technical excellence with problem-solving skills to deliver scalable, compliant, and impactful AI solutions in the healthcare domain * Position is remote, but candidates based in Raleigh/Durham/Cary, NC or DC area preferred. * Responsibilities: - Design, develop, and deploy LLM-powered applications (e.g. summarization, intelligent assistants, document processing, automation) - Strong skills in API development and system integration, with the ability to contribute across the full stack - Build and optimize RAG pipelines using embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS) - Support ML pipelines including data preparation, training workflows, and deployment into applications - Support and implement MLOps/LLMOps practices such as CI/CD pipelines, versioning, monitoring, retraining, and governance - Mentor and coach engineers on best practices, solution architecture, and applied AI strategies - Partner with business and product teams to translate requirements into effective AI solutions - Stay current on advances in LLMs, GenAI, and compliance requirements (HIPAA, GDPR, FDA) - Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules Qualifications Required Qualifications: - Bachelor’s degree in computer science, Data Science, or related field (Master's or PhD preferred) - 4+ years of experience as an ML/AI Engineer with proven applied AI/LLM deployments - Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn) - Hands-on experience with LLMs, embeddings, vector DBs, and RAG pipelines - Cloud experience with AWS and Azure for deploying and managing AI systems - Familiarity with MLOps/LLMOps and CI/CD practices - Experience deploying ML/LLM systems in healthcare or other regulated environments - Excellent communication skills and experience mentoring and collaborating with engineers Preferred Qualifications/Experience: - Experience with LangChain, LlamaIndex, or agentic AI frameworks (AutoGen, CrewAI, Semantic Kernel) - Exposure to multi-agent system design and implementation - Knowledge of healthcare data standards (HL7, FHIR) and compliance (HIPAA) Why us? We are a team of experienced and caring leaders, clinicians, pioneering technologists, and industry professionals who come together to redefine expectations for the healthcare industry. State and federal healthcare agencies, providers, and employers turn to us as their vital partner to ensure better healthcare and improve health outcomes. We do this through our people. You will have meaningful work that genuinely improves people's lives across the country. We are a company that cares about our employees, and we give you the tools and encouragement you need to achieve the finest work of your career. Benefits Benefits are a key component of your rewards package. Our benefits are designed to provide you with additional protection, security, and support for both your career and your life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more. Compensation The pay range for this position is listed below. “Based on our compensation philosophy, an applicant’s position placement in the pay range will depend on various considerations, such as years of applicable experience and skill level.” Thank You! We know your time is valuable and we thank you for applying for this position. Due to the high volume of applicants, only those who are chosen to advance in our interview process will be contacted. We sincerely appreciate your interest in Acentra Health and invite you to apply to future openings that may be of interest. Best of luck in your search! ~ The Acentra Health Talent Acquisition Team Visit us at https://careers.acentra.com/jobs EEO AA M/F/Vet/Disability Acentra Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, status as a protected veteran or any other status protected by applicable Federal, State or Local law. #LI-SF1 Pay Range USD $97,040.00 - USD $130,000.00 /Yr.