At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making. Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics. We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges. This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting the development of next-generation AI capabilities within a cybersecurity technology platform. - Contribute to the design and implementation of advanced AI systems capable of interpreting large volumes of security data. - Focus on building production-ready AI infrastructure that can scale with the platform's evolving capabilities. What You'll Be Building - Advanced NLP Systems: Develop natural language processing models capable of extracting structured insight from unstructured documents, threat intelligence feeds, and security reports. - LLM / Retrieval Systems: Build retrieval-augmented intelligence systems that generate contextual security insights and assist with automated risk analysis. - Knowledge Graph Architecture: Design dynamic knowledge graph structures that map relationships among assets, vulnerabilities, and regulatory frameworks. - Real-Time AI Pipelines: Develop scalable ML pipelines that process security data streams and deliver actionable insights. Key Responsibilities - AI Architecture & Engineering: - Designing and deploying production-grade NLP models for security intelligence analysis. - Developing knowledge graph systems connecting assets, vulnerabilities, and compliance frameworks. - Building LLM-based intelligence capabilities to support automated cyber risk insights. - Technical Delivery: - Implementing robust MLOps pipelines to support model lifecycle management. - Optimising model performance for real-time or near-real-time security analysis. - Collaborating with domain specialists to translate cybersecurity concepts into machine learning models. - Strategic Contribution: - Contributing to the technical roadmap for AI capabilities within the platform. - Researching emerging AI techniques relevant to cybersecurity and risk analysis. - Supporting architecture decisions that enable long-term scalability. Qualifications - Advanced degree in Computer Science, AI/ML, Mathematics, or a related technical field. - 5+ years of experience building production AI/ML systems. - Strong expertise in NLP frameworks (e.g., spaCy, Hugging Face, OpenAI APIs). - Experience working with knowledge graph technologies (e.g., Neo4j, Neptune, or similar). - Hands-on experience with LLM/RAG architectures. - Strong programming skills in Python with frameworks such as PyTorch or TensorFlow. - Comfortable working within cloud environments (AWS, Azure, or GCP). - Experience working with cybersecurity data or threat intelligence. - Familiarity with frameworks such as NIST, ISO 27001, SOC 2, DORA, or OWASP. - Experience building ML systems within regulated industries. Engagement Structure This role is structured as a fractional technical engagement (approximately 8 hours per week) for experienced engineers interested in contributing to the technical foundation and development of an emerging cybersecurity technology platform at an early stage. Participation is aligned with the company's current growth phase and is structured around long-term strategic involvement and shared upside as the platform scales. This opportunity is well-suited to engineers who enjoy solving complex technical problems and contributing to foundational systems in emerging technology environments.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Elasticsearch Engineer will continuously improve and scale the Elasticsearch infrastructure that powers our high-profile, high-visibility cybersecurity and risk-management platform. You will own the Elasticsearch clusters (provisioning, upgrades, backup/restore, and troubleshooting) managed with Ansible, and you will design, evolve, and operate data-ingest pipelines plus Elastic Fleet policies and integrations using Ansible. This is a full-time, remote position. Rotation on-call hours required. What You’ll Do - Meet professional obligations with efficient work habits—hit deadlines, honor schedules, and coordinate resources/meetings effectively. - Build strong cross-functional relationships with SecOps, SRE/Platform, Dev, and Compliance. - Maintain a professional image and adhere to all company policies/procedures. - Produce clear runbooks, diagrams, and training for junior staff; lead knowledge-shares. - Participate in and contribute to collaborative engineering/design reviews. - Plan and execute zero/minimal downtime Elasticsearch cluster upgrades with rollback and validation steps. - Implement and test cluster backups/restores; regularly perform DR exercises. - Diagnose and resolve cluster issues (performance, shards, mappings, ILM, security). - Create and maintain Elasticsearch ingest pipelines parsing (Grok, processors, ECS alignment, Painless). - Create and maintain index/component templates, ILM and SLM policies. - Create and maintain Elastic Agent integrations via Ansible, adapting data to Elastic Common Schema. - Build cluster, agent, and data ingest monitoring & alerting (throughput, latency, drop/error rates) with dashboards Kibana and ElastAlert; respond to incidents. - Capacity planning and performance tuning. - Own OS configuration management for Elastic nodes using Ansible (idempotent playbooks, CI validation). - Partner with Security to improve data quality, normalization, and retention policies. - “Other duties as assigned” in support of platform reliability and data integrity. Qualifications - High School Diploma or GED equivalent, required. - Elastic Certified Engineer (ECE) or equivalent knowledge, required. - 2+ years hands-on Elasticsearch engineering in production, required. - Ansible experience for automated configuration management, required. - Extensive experience with Grok patterns and ingest pipeline parsing. - Experience with GitHub (PR workflow, code reviews, Actions/CI). - Some programming experience to be able to comprehend and troubleshoot existing PowerShell and Python scripts. Requirements - ETL/data-engineering experience outside Elastic (e.g., Kafka, Fluent Bit, Airflow). - Programming in Bash, Python, PowerShell, Ruby or Go for tooling, automation, and QA. - Security certifications (e.g., CISSP, CISM, CISA, Security+, CEH). - Exposure to Elastic security features, RBAC, TLS, PII handling. - Experience with Elastic’s tooling such as Rally. - Familiarity with ECS, ILM, SLM, Hot-Warm-Cold architectures, index and component templates, data stream and concrete index strategies. - Experience with Linux hardening, systemd, and performance tuning for Elastic nodes. - Observability practices (SLOs, error budgets), and metrics/logs/traces integration. Benefits - 100% employer-funded insurance for employee-only medical, dental, and vision coverage. - Generous employer-funded insurance for family medical, dental, and vision coverage. - 401 (k) plan with company match. - Employer-sponsored life insurance. - Paid parental leave. - 3 weeks of paid time off, accrued annually. - 8 company-paid holidays and 2 floating holidays each year. - Certification and training reimbursement program for approved learning expenses. - 100% remote position (must be located within an approved state in the United States). - On-call Rotation: 1 week on/1 week off. - Company equipment provided.

Overview The Graduate School of Business and Leadership (GSBL) at National Louis University is proactively recruiting Adjunct Instructors of Maternal Child Health and Human Lactation for part-time adjunct faculty positions. The Graduate School of Business and Leadership Maternal and Child Health Studies program offers holistic professional preparation and contemporary academic experience for students aiming to lead in lactation and public health, supported by flexible online courses and practical internships. Our program includes an IBLCE Pathway 2 concentration and offers the world’s only graduate degree program accredited by the Commission on Accreditation of Allied Health Education Programs (CAAHEP). Current IBCLCs can deepen and specialize their clinical lactation practice through individualized research options guided by experienced scholar practitioners. Focused on improving public health, advancing social justice, and reducing health disparities, our program trains a multicultural workforce to support families within their own communities. With supportive guidance through clinical internships and specialized knowledge for clinical practice and advocacy, our program is eligible for Federal Student Aid, making it ideal for students needing financial support to qualify for the International Board Lactation Consultant Exam. Our faculty have the unique opportunity to make a significant impact on maternal and child health equity by training future leaders and scholars in the field of Maternal Child Health and Human Lactation. Current Priority Areas: We are currently seeking candidates with expertise in perinatal mental health and/or public health, with a special interest in maternal and child health and lactation. Availability: Starting as soon as Spring 2026. Essential Responsibilities - Develop and/or update course curriculum, assignments, and assessments in conjunction with Program Director - Ensure course materials are current, relevant, and aligned with Course Learning Objectives and accreditation standards. - Utilize the University’s online learning management system to organize and present course content effectively (including but not limited to Brightspace, Panapto, and Simple Syllabus) - Deliver engaging and interactive online lectures, discussions, and activities. - Foster an inclusive and supportive learning environment that encourages student participation and collaboration. - Employ diverse teaching strategies and technologies to accommodate different learning styles. - Adhere to university policies, procedures, and accreditation requirements. - Ensure course content and delivery comply with relevant academic and professional standards. - Perform additional duties as assigned by the department chair or program director. Qualifications Professional Experience - Demonstrated expertise and experience in the subject area. - Prior teaching experience at the graduate level, preferably in an online environment. - Strong communication, organizational, and technological skills. - Commitment to fostering a diverse and inclusive learning environment. - Fluency in Spanish is highly preferred. Education - Minimum of a Master’s degree plus relevant experience in the field - Doctoral degree preferred in the relevant field or a related discipline Certifications/Licensure: - International Board-Certified Lactation Consultant (IBCLC) credential preferred but not required, depending on teaching assignment. Relevant clinical licensure or certification in area of expertise (e.g., licensed mental health professional, Certified Health Education Specialist) may be substituted. Due to business and compliance requirements, this remote position is only open to candidates residing in the following states: Arizona • California • Colorado • Florida • Georgia • Illinois • Indiana • Iowa • Kentucky • Louisiana • Maryland • Massachusetts • Michigan • Minnesota • Missouri • Nevada • New Jersey • New York • North Carolina • Oklahoma • South Carolina • Texas • Virginia • Washington • Wisconsin NLU Inclusion Statement: National Louis University is deeply committed to serving its community, advancing access and equity, and ensuring that all individuals are welcomed and valued. We are dedicated to fostering a culture where diversity, equity, and inclusion remain at the core of who we are. These are more than just words to us: they are truly a way of life for the NLU community. We recognize that differences in abilities, age, ethnicity, gender (identity and expression), race, religion, sexual orientation, socio-economic status, and background bring richness to our work environment. We affirm diverse perspectives, innovative contributions, and authentic presentations of self from every member within the NLU community. We believe inclusion is grounded in the actions we intentionally take each day. Our goal is to inspire and empower NLU employees and community members to cultivate an environment where we collectively focus on uplifting and advancing our institutional culture. Compensation and Benefits At National Louis University, we offer our employees an innovative environment to work together and inspire the ideas that will make an impact. Our institution values Adjunct Faculty's role in advancing our teaching mission and preparing our students for successful careers. Adjunct Faculty have access to training resources for professional development, access to shared governance as a part of our Adjunct Council, retirement plans, educational opportunities, and paid time off. A more complete list of Adjunct Faculty Benefits can be found here. Adjunct Faculty are paid by course or assignment each term. These rates vary by college and number of credit hours for the course/assignment. While the specific amount will be indicated in an electronic contract that is issued to the Adjunct Faculty member when the course is assigned, an overview of standard rate structure is available below: 2025 Adjunct Faculty Rate Structure Application Instructions Please Include the following with your Application: - Curriculum Vitae, required - Transcripts (Official or Unofficial) - Official Transcripts for all related degrees, licenses/certificates will be required upon hire Optional Additional Attachments: - Teaching Philosophy - Sample Syllabus - Additional Licenses/Certifications - Course Evaluations