This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm, and a commitment to providing the finest practitioner-focused education. We are seeking primarily Industry Professionals to share their knowledge and experience with undergraduate and graduate students in a variety of fields. - Courses meet once or twice a week for eight weeks. - Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment. - Faculty are responsible for facilitating student learning by teaching educational courses and programs in accordance with DeVry University requirements. - Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives. - All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. - DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. Responsibilities - Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives. - Organizes, prepares, and regularly revises and updates all course materials. - Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students. - Models effective oral and written communications that engage the students, provide clarity, and improve student learning. - Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. - Ensures that the content and level of material included on exams correspond to the course terminal objectives. - Demonstrates consistency and fairness in the preparation and grading of exams, and provides timely feedback to students. - Completes other duties as assigned. Qualifications - A master's degree is required for all faculty positions (with 18 graduate hours in the subject being taught for undergraduate teaching; MSME, MSEE, MSSE, MSCS). - Machine Learning/AE background required. - Qualifying credentials must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Administration, or by an international institution determined to hold equivalent accreditation. - Additional requirements driven by state licensing or accreditation considerations may apply. - Faculty must have requisite subject matter expertise and outstanding communication skills. Pay - Visiting Professor pay is based on degree, credit hours taught per 8-week session, and location. - Pay may vary in most states from $1500-$2700 per 8-week session. - Pay in the states of AZ, CA, IN, and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour. Benefits - 401(k) and Roth Plan. - Paid Tuition Program. - Remote and Flex Work Options. - Paid Sick Time. - Technology Stipend. - Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Peer Mentor, you will work part-time helping students transition to SNHU and make the most out of their first-year experience (FYE). You will report to the Associate Dean. Peer Mentors provide personalized mentoring to first-year students in addition to delivering and supporting programming designed to support engagement and success of at-risk non-traditional students. Peer Mentors connect with students inside the student learning community with virtual one-on-one and group mentorship and (whenever possible) at local, regional meet-up events. Peer Mentors hold regular office hours during which they provide both synchronous and asynchronous assistance to students. Peer Mentors may work up to 20 hours a week. We are a remote friendly working environment. - Hold real-time office hours throughout the term for mentoring appointments - Provide one-on-one and group mentorship to first-year students enrolled at SNHU - Be active (e.g., posting responses, responding to chats) in the Learning Community or activities related to the Learning Community (e.g. webinars) according to set standards - Engage students through delivery of online webinars or programming - Maintain confidentiality - Discuss any mentee concerns with the peer mentor supervisor - Understand and abide by all SNHU policies - Attend and participate in all training sessions and meetings - Reflect the culture and values of SNHU Qualifications - 1+ years of experience using social media and using virtual meeting or conference software - Access to a personal computer and reliable internet connection - SNHU current or previous students preferred Compensation The hourly pay range for this position is $15.87 - $25.41. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $17.54 - $23.74.

About the Role In this role you will support cross-functional teams in designing and implementing machine learning-based solutions and contribute to Machine Learning Engineering (MLE) internal tools and best practices. What You’ll Do - Work with Engineers to integrate Data Science models into customer-facing solutions - Support model development through Google Cloud Platform (GCP) service enablement and configuration - Contribute to the roadmap for Data Science and MLE team tools and technology development - Design and implement monitoring and alerting systems to maintain model performance and integrity - Work within the Machine Learning Engineering team to develop leverageable toolsets to standardize and streamline model implementations - Mentor and guide junior machine learning engineers, providing technical expertise and fostering a culture of continuous learning and development - Think in terms of iterative development, document, and communicate throughout the products' data science lifecycle - Work closely with Data Scientists to efficiently scale Extract Transform Load (ETL) workflows and models to meet production requirements - Optimize and fine-tune models to achieve peak performance and accuracy within resource constraints - Stay up-to-date on GCP services and best practices for Data Science and Machine Learning implementations - Additional tasks may be assigned What Skills You Have Required - Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field - 3+ years of progressively complex Data Science or analytics experience - 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery - In-depth knowledge of Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc - Extensive expertise with CI/CD and IaC best practices - Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL - Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) - Experience with Agile/XP software development - Experience with OGSM approach; strategy development, and execution Preferred - Master’s Degree and/or Ph.D. - Proficiency in Java/Scala or other languages - Retail experience - E-commerce experience

Job Description BAE Systems Space and Mission Systems is seeking a highly skilled Machine Learning (ML) Subject Matter Expert to join our team. As an ML expert, you will work closely with our customer (e.g., AFRL) to assess the scientific validity, robustness, and transparency of ML systems. Your expertise will be crucial in analyzing various ML systems and scientifically validating the claims made by proposed solutions. In addition to ML expertise, your skills in MBSE, software development, and/or areas such as Natural Language Processing and Large Language Models will allow you to contribute to a wide range of efforts at BAE Systems, Inc. The Engineering, Science and Analysis (ESA) Strategic Capabilities Unit comprises the technical talent and organizational leadership that enables the successful delivery of high-impact discriminating technologies for our customers' missions. Our collaborative, cross-functional teams are committed to innovation, integrity, continual learning and strong execution. What You'll Do: - Serve as a subject matter expert in machine learning. - Analyze various ML systems and scientifically validate the claims made by proposed solutions. - Evaluate the performance, robustness, and generalization of ML models, with emphasis on the following areas: - Identify weaknesses and flaws in processes and provide recommendations for improvement. - Collaborate with the team to review raw and cleaned datasets used for model development. - Perform code reviews for logical correctness, data leakage, syntax problems, and other issues. - Confirm that reported results can be reproduced using provided data and code. - Evaluate the effects of noise, missing data, and distributional shifts on model performance. - Identify overfitting indicators and document limitations and boundary conditions. - Provide technical writing of documentation and progress reports. - Maintain a regular and predictable work schedule. - Establish and maintain effective working relationships within the department, the Strategic Business Units, Strategic Capabilities Units and the Company. Interact appropriately with others in order to maintain a positive and productive work environment. - Perform other duties as necessary. On-Site Work Environment: This position requires regular in-person engagement by working on-site five days each normally scheduled week in the primary work location. Travel and local commute between company campuses and other possible non-company locations may be required. Working Conditions: - Work is performed in an office, laboratory, production floor, or cleanroom, outdoors or remote research environment. - May occasionally work in production work centers where use of protective equipment and gear is required. - May access other facilities in various weather conditions. Required Education, Experience, & Skills - BS degree or higher in Engineering or a related technical field is required plus 4 or more years related experience. - Each higher-level degree, i.e., Master's Degree or Ph.D., may substitute for two years of experience. Related technical experience may be considered in lieu of education. Degree must be from a university, college, or school which is accredited by an agency recognized by the US Secretary of Education, US Department of Education. - Proficiency in Python, with experience using libraries such as scikit-learn, TensorFlow, and PyTorch. - Basic understanding of API usage, Docker, and Git. - Understanding of ML system evaluation, including data pipelines, feature extraction, and model architectures. - Ability to quickly learn and understand various software libraries and technologies. - Stolid analytical and problem-solving skills, with the ability to nitpick and stress test potential concerns with software. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Ability to obtain and maintain DoW Secret clearance. #LI-NP1 A security clearance or access with Polygraph is not required to be eligible for this position. However, the applicant must be willing and eligible for submission, depending on program requirements, after an offer is accepted and must be able to maintain the applicable clearance/access. Preferred Education, Experience, & Skills - MS or PhD in Computer Science, Mathematics, Statistics, or related field. - Experience in Biomedical Engineering or using data from physiological sensors to predict or measure human performance. - Active DoW clearance. - Skills in at least one of the following: MBSE, Software Development, Natural Language Processing, Large Language Models. Pay Information Full-Time Salary Range: $88189 - $149922 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems Space & Mission Systems BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Headquartered in Boulder, Colorado, Space & Mission Systems is a leading provider of national defense and civil space applications, advanced remote sensing, scientific and tactical systems for government and commercial customers. We continually pioneer ways to innovate spacecraft, mission payloads, optical systems, and other defense and civil capabilities. Powered by endlessly curious people with an unwavering mission focus, we continually discover ways to enable our customers to perform beyond expectation and protect what matters most. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified. Multiple positions may be available on this opening.