Job DetailsJob Location: OSC Utah - Salt Lake City, UT 84111The Assistant Professor I for Nursing Education facilitates distance education instruction by incorporating innovative teaching methodologies, cutting-edge technologies, and other industry trends reflecting advancements in the discipline by promoting an interdisciplinary approach to advanced practice nursing education and healthcare delivery within and outside the College. The incumbent will be accountable for the delivery of the nursing curriculum in accordance with the mission, vision, values, and purposes of the Program. The Assistant Professor I will engage with learners in all aspects of the nursing education process including evaluating the potential for achievement in the program and is accountable for Nursing Education Services successful attainment of key performance indicators, program and functional outcomes, and the success of the College’s mission. Facilitates learning in the various supervised on-ground focused education (SOFE) sites, including clinical, simulation, or skills labs across the United States Monitors, engages, and maintains open communication with learners in all aspects of the nursing education process including attendance, performance, comprehension, and evaluation in accordance with course outcomes, and submits required reports according to published deadlines Adheres to and holds learners accountable for partner facilities’ expectations Attends nursing faculty meetings, participates in committees, engages in shared decision-making, and other faculty activities as required May be assigned to various modalities including experiential, didactic, evaluations, and NCLEX coaching based on the needs of the College May carry additional teaching load outside of primary assignment Participates in the successful implementation of other functional projects as they arise Qualifications Earned Graduate degree with a major in nursing from an accredited institution supplemented by 0-1 year of relevant experience. Active, unencumbered RN or APRN license from state of residence and ability to obtain RN and NP licensure in any jurisdiction required by the College, including a valid multi-state license Either has an earned Certified Nurse Educator (CNE) credential or commits to obtaining this certification within a one-year period Maintains current knowledge in multiple areas of nursing practice Two years of experience in clinical nursing, within the past five years Two years of experience supervising clinical education activities Maintains immunizations and certification records as required by accreditation, facility, or state board of nursing Additional Contributions: Annual Professional Development, Service as SME, Service on Committees, and maintain average learner load of 125 learners (100-150)

Role Description We are seeking a talented individual to join our team at Blue Whale Lending LLC as a Machine Learning Engineer. This position is ideal for someone with a passion for data and a strong background in machine learning techniques who is looking to contribute to innovative projects in the lending industry. - Develop and implement machine learning models to enhance our lending processes. - Collaborate with data scientists and software engineers to integrate models into production systems. - Analyse large datasets to extract meaningful insights and identify opportunities for improvement. - Conduct experiments to validate model performance and ensure robustness. - Stay updated on the latest advancements in machine learning and AI technologies. Qualifications - Bachelor's degree in Computer Science, Data Science, or a related field. - Proven experience in machine learning, with a strong understanding of algorithms and frameworks. - Proficiency in programming languages such as Python or R. - Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., TensorFlow, Scikit-learn). - Strong analytical and problem-solving skills. Requirements - Master's degree or higher in a relevant field (nice to have). - Experience with cloud platforms (e.g., AWS, Azure) (nice to have). - Familiarity with big data technologies (e.g., Hadoop, Spark) (nice to have). - Knowledge of financial services and lending mechanisms (nice to have).

• Stay current with ML/CV research, identify promising methods, and evaluate their applicability to our domain • Adapt and implement algorithms from papers, validating against baselines and benchmarking for production viability • Own and deliver end-to-end computer vision projects focused on: • Design and execute experiments with systematic hyperparameter tuning, ablation studies, and appropriate baselines • Perform structured error analysis: categorize failure modes (false positives, missed detections, localization errors, misclassifications) and break down performance by data slices (object size, occlusion, image quality) • Select and justify model architectures based on task requirements, latency, and accuracy tradeoffs • Design and implement data pipelines including ingestion, preprocessing, annotation workflows, and quality monitoring • Experiment tracking and model versioning (configurations, random seeds, dataset versions, environment specs, and model checkpoints) • Build model serving pipelines that meet latency and throughput requirements • Conduct thorough code reviews and write integration tests for ML pipelines • Communicate research findings, technical decisions, and model limitations clearly to stakeholders

Innovexis is looking for a passionate and motivated Machine Learning Intern to join our innovative team in Bengaluru. This remote internship offers a unique opportunity to gain hands-on experience in the exciting field of education management through the application of machine learning technologies. As a Machine Learning Intern, you will assist in the development and implementation of machine learning models that enhance our educational platforms. You will collaborate with experienced professionals to work on real-world projects that aim to improve learning outcomes and optimize educational processes. This internship will provide you with invaluable skills and insights into the intersection of technology and education. We offer a competitive salary range of ₹20,000 - ₹25,000 per month, along with a supportive environment for personal and professional growth in the fast-evolving education sector. Responsibilities - Assist in the design and development of machine learning algorithms - Analyze datasets to extract meaningful insights - Collaborate with the data science team to implement models - Participate in research and development of new machine learning techniques - Test and validate machine learning models for accuracy and performance - Document processes and results for future reference - Stay updated on the latest trends in machine learning and education technology - Contribute to team meetings and brainstorming sessions Requirements - Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field - Basic understanding of machine learning concepts and algorithms - Familiarity with programming languages such as Python or R - Experience with data analysis and visualization tools - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities - Ability to work independently in a remote environment - Enthusiasm for learning and applying new technologies