Title: Life Enrichment Associate Part-Time Location: Denver United States Category Health & Wellness Type Regular Part-Time Job Description: Nestled in the heart of Denver, Balfour Senior Living in Riverfront Park is seeking passionate individuals to join our exceptional team. Location: 1500 Little Raven St, Denver, CO 80202 Shift: Part-Time | Saturday-Monday | varies 9 AM to 5:30 PM (flexibility required for occasional earlier/later events). Holidays required Pay: $19.29-$21.00/hr (depending on experience) Department: Memory Care, Assisted Living & Independent Living Must be able to or willing to learn to drive our non-CDL mini shuttle bus and have a good driving record. The Life Enrichment Specialist is responsible for implementing and supporting aspects of the community's Art of Living Well philosophy and the multi-dimensions of Art of Living Well through interaction with residents, presenting classes and instruction, coordinating events, and assisting with transportation as needed. Assist in promoting a healthy, activity-enriched lifestyle for residents and associates. What will I do every day? - Assist Life Enrichment Director to present programs that meet the emotional, intellectual, social, spiritual and vocational needs of the residents and staff - Promote and monitor resident attendance and participation in all Art of Living Well programs - Teach and facilitate programs as appropriate - Monitor residents' well-being in a general way and report any changes in condition to the appropriate associate/department immediately - Assist residents with requests as needed or find appropriate associate to assist - Learn resident preferences for opportunities to provide exemplary customer service, exceed resident expectations and enhance resident satisfaction - Implement a variety of group and individual Art of Living Well programs that meet the varying needs of the residents and staff - Respond to residents individually to meet their Life Enrichment needs based on activity level, acuity, interests, and feedback - Work with volunteers and community groups as needed to implement various programs and events - Assist in setting up/tearing down Life Enrichment and community events as needed - Work as part of the team within your department and across the community - Perform function ability assessments and quality of life indexes for participants, as requested - Assist with scheduling transportation as required - Drive vehicles as necessary - Support open and honest communication with and between all associates - Represent the company PVBs and The Art of Living Well on a daily basis - Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and name tag when working - Look for ways to reduce costs and create efficiencies on a daily basis - Ensure regulatory compliance and report any issues or concerns immediately - Support continuous improvement - Comply with company standards and regulations to encourage safe and efficient community operations - Adhere to all regulations, laws and company standards, including the Associate Handbook - Understand and support the community sales process - Perform other related duties as required What will I need to be successful in this role? - Bring a smile to work every day - Be a great team player - High school graduate - One to two years' experience in Life Enrichment programs (preferably with seniors) - Background in different dimensions of Art of Living Well is beneficial - Experience leading exercise classes and assisting with exercise equipment - Basic competency in the use of multiple forms of technology, including: Microsoft Office applications, internet-based and custom applications - Ability to work a flexible schedule, including evenings, weekends and holidays as needed Special Requirements/Certifications I may need? - Valid driver's license and proof of good driving record - First Aid Certification What's in it for me? (Great Question!) - Competitive pay - A free meal per shift - Healthcare Benefits including Vision & Dental (Full-time only) - Matching 401k (Full-time only) - Paid Time Off - Rewards and Bonus Opportunities - Continuous Training and Growth Opportunities What do we do? We create a great place to live for our residents and a great place to work for our associates. Kisco Senior Living has been a dynamic, award-winning leader in the senior living industry for over 30 years. All offers of employment are subject to satisfying our pre-employment process, which includes successfully passing a drug screen, a job specific-related physical, a TB test, and a background check. If selected for employment, the company will cover the cost of these pre-hire requirements - Kisco Senior Living is an Equal Opportunity Employer

• Own ML production reliability strategy • Define and lead the operational strategy for production ML systems, including monitoring, traceability, deployment safety, incident response, and post-deployment validation. • Set the standards ML teams use to assess model health, performance, and trustworthiness in production. • Own model traceability and governance • Ensure every production model has clear lineage (data, features, code, artifacts, validation, deployment history) and drive adoption of model registry and metadata tooling across ML teams. • Build end-to-end ML observability • Design and implement monitoring across the full ML signal path: data arrival, feature freshness, distribution stability, candidate generation, ranking behavior, model metrics, serving latency, and SLA performance. • Define production health metrics • Partner with ML, data, product, and business stakeholders to define post-deployment metrics covering model quality, system reliability, business guardrails, and degradation indicators. • Detect drift and degradation proactively • Detect data drift, feature drift, model behavior changes, and silent failures before they impact customers via thresholding, alerting, anomaly detection, and release-over-release monitoring. • Lead diagnostic tooling and root-cause analysis • Build dashboards, logs, and diagnostic workflows that progress quickly from “recommendations look off” to root cause, with context captured across candidates, features, scores, ranking decisions, and downstream outcomes. • Own ML deployment safety • Define and operate automated gates that prevent bad models or bad data from being promoted to production. • Partner with MLEs to establish validation checks, rollback criteria, canary strategies, shadow testing, and release health reviews. • Lead ML incident response • Own incident response practices for ML systems, including rollback playbooks, hotfix strategies, severity definitions, tradeoff frameworks, communications, and post-mortems. • Drive closure of systemic gaps after incidents rather than only resolving the immediate issue. • Partner across ML Platform, Data, and ML • Partner with DevOps/Platform on infrastructure and observability needs; with Data Engineering on data quality, drift, and freshness; and with ML Engineering to embed operational requirements into development and deployment workflows. • Set standards and mentor others • Act as the technical lead for ML operations: establish reusable patterns, playbooks, and standards, and mentor engineers on reliability, observability, and operational rigor.

Role Description We’re looking for an E-Learning Developer to join a growing team, supporting the development and optimisation of a Moodle-based Virtual Learning Environment. This is a great opportunity for someone who enjoys both the technical side of platform management and the creative side of building engaging learning content. - Managing and maintaining a Moodle-based VLE, including back-end configuration - Creating engaging digital learning content using tools such as Articulate - Turning subject matter expert content into interactive, user-friendly courses - Supporting enrolments, course setup, grading, and reporting - Working with stakeholders to design effective learning solutions - Improving user experience through interactivity, accessibility, and platform enhancements Qualifications - Experience administering Moodle at back-end level - Experience with e-learning authoring tools (e.g. Articulate) - Strong technical understanding of VLEs/LMS platforms - Ability to communicate and collaborate with non-technical stakeholders - Strong organisation and attention to detail Requirements - Experience in education or professional qualifications (CIPD/CMI) - Knowledge of Moodle add-ons/plugins - Excel reporting experience - Exposure to tools like Asana Benefits - £35,000 basic salary

Role Description We are sharing a specialised part-time consulting opportunity for experienced Machine Learning Engineers and Applied ML Researchers with expertise in end-to-end modeling, dataset analysis, feature engineering, validation strategy, model evaluation, reference solution development, and technical quality review. This role supports current and upcoming remote consulting opportunities focused on complex machine learning challenge design, applied modeling workflows, reference solution development, technical evaluation, reproducible documentation, and high-quality project execution. Selected professionals will design, solve, and review challenging machine learning tasks that reflect real-world ML development across multiple domains and data modalities. Key Responsibilities - End-to-End Machine Learning Solution Development - Develop complete machine learning solutions for challenging prediction and modeling problems. - Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics. - Perform exploratory data analysis, feature engineering, data preprocessing, model training, tuning, and evaluation. - Work across tabular, text, image, time-series, recommendation, ranking, or other applied ML problem types. - Reference Solutions & Technical Documentation - Develop strong reference solutions using industry-standard machine learning techniques and best practices. - Document methodologies, assumptions, modeling choices, validation approaches, and evaluation results clearly. - Ensure solutions are accurate, reproducible, and technically well-structured. - Identify opportunities to improve model performance through systematic experimentation and iteration. - ML Project Review & Evaluation - Review and validate the technical quality of machine learning projects and deliverables. - Evaluate modeling choices, data preparation decisions, performance metrics, and experimental design. - Identify weak assumptions, data leakage risks, flawed validation, underdeveloped features, or unsupported modeling conclusions. - Provide clear written technical feedback that improves correctness, rigor, and reproducibility. Qualifications - Master's degree, PhD, or equivalent advanced experience in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field. - 2+ years of hands-on experience developing, training, evaluating, and optimizing machine learning models in a professional or research setting. - Strong proficiency in Python and modern machine learning frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow. - Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation. - Strong understanding of model evaluation metrics, validation methodologies, and experimental design. - Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs. Requirements - Relevant experience may include: - Tabular machine learning. - Natural language processing. - Computer vision. - Recommendation systems. - Ranking systems. - Time-series forecasting. - Applied modeling across structured or unstructured datasets. Nice to Have - PhD from a leading research university. - Experience at leading technology companies, AI-focused teams, research institutions, or high-growth startups. - Participation in competitive machine learning or data science competitions. - Experience optimizing models against performance-based evaluation metrics. - Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning. - Publications, patents, or significant open-source contributions in machine learning or AI. - Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners. Why This Opportunity - Apply machine learning engineering and applied research expertise to structured remote consulting work. - Contribute to high-quality ML challenge design, reference solution development, and technical evaluation. - Work on flexible assignments aligned with your modeling, Python, experimentation, and ML framework experience. - Use your technical judgment to evaluate complex ML workflows and improve solution quality. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Eligible professionals may be based in approved project locations depending on project needs. - Project commitment may vary depending on availability and scope. - Competitive rates up to $100 per hour depending on expertise and project scope. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .