• Support implementation of Microsoft Purview Records Management policies, retention labels, and file plan configuration. • Assist in deployment and tuning of trainable classifiers and content classification models. • Analyze structured and unstructured data to support automated records classification. • Develop and maintain automation scripts using Python and PowerShell for: • Metadata extraction and transformation • Data normalization and validation • Reporting and audit preparation • Migration data preparation • Support automation initiatives using Microsoft Power Automate and Microsoft Forms. • Configure and manage SharePoint Online sites, libraries, and permissions to support compliant records storage. • Assist in content migration activities ensuring records compliance and metadata integrity. • Collaborate with records management stakeholders to translate governance requirements into technical configurations. • Troubleshoot Microsoft 365 records, classification, and automation workflows. • Document technical solutions, configurations, and automation processes.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. JLL is seeking a Reliability Engineer to join our team!   ​In JLL Work Dynamics our most significant assets are our “People” and our “Clients”. We will act with Dignity and Respect, make Ethical Decisions, champion Corporate Responsibility and serve as a driving force for a Sustainable Asset Management. There are opportunities for growth and career development, as the team develops you may be responsible for management of junior staff. Acting as a technical subject matter expert you will be supported in achieving external qualifications and becoming globally recognized in RAM. This exciting opportunity is responsible for providing reliability engineering support for operations and maintenance of buildings, infrastructure, and equipment assets. In coordination and full collaboration with the Engineering Services Reliability & Asset Management COE, the Reliability Engineer is responsible for implementing a strategic asset management plan to integrate clients existing systems including building automation, energy management, maintenance programs and life-cycle asset management approach. Develops analysis methods to determine reliability of components, equipment, and processes in accordance with JLL’s enhanced Reliability & Asset Management program. Acquires and analyzes data from connected systems and continually improves maintenance program strategy to meet outcomes-based performance measures. Conducts ongoing maintenance maturity assessments to assure progress to plan. Oversees root cause failure analysis (RCFA) of equipment failures to determine the required corrective action for the situation. Consideration will be given to the cost limitations for equipment uptime/downtime, repair/replacement costs and weight, size, and availability of materials/equipment. Determines cost advantages of alternatives and develops action plans that comply with internal/external customer demands for reliability processes/equipment to avoid failures. Position Responsibility of ESSENTIAL FUNCTIONS: - Recognizes that assignments are broad in nature and require appreciable originality and ingenuity to complete them and considerable latitude for un-reviewed actions or decisions. Asset Management - Works under general direction of Engineering Services Reliability & Asset Management platform for instruction in deploying client’s strategic asset management plan with matrix reporting back to the clients lead engineer (FM). - Integrates data from BAS, automated fault detection diagnostic engines, maintenance programs, and capital planning processes to develop life-cycle analyses and recommendations for repair vs. replacement decisions. - Support all efforts in the execution of site level Asset Management & Reliability programs and processes to effectively increase machine/facility system reliability and compliance. - Conducts program and system/equipment audits on a periodic and as needed basis. Audits will generally be focused on safety, regulatory compliance, maintenance effectiveness, cost savings, and energy conservation. - Supports JLL operational compliance program and follows company safety and health guidelines and other company policies. - Coordinates the use of other engineers, technicians, and third-party resources to accomplish the objective of cost-effective Asset Management & Reliability improvements for maintenance and projects. Reliability Engineering - Equipment preventative maintenance (PM) task creation and management for continuous improvement and PM optimization. - Responsible for ranking the criticality of the assets under their care, typically using Reliability Centered Maintenance approaches, and for defining the proactive maintenance approaches that are cost-beneficial to the business. - Create and conduct Reliability studies, as well as understanding drawings and schematics. - Create risk mitigation strategies for critical assets that can be deployed across the asset portfolio - Investigate new technologies for reliability improvements - Considers impact of costs on recommended action plans for avoiding/correcting problems during the design phase or remedial action for correcting reliability problems on installed equipment; performs root cause failure analysis to help prevent failures. - Facilitates/supports operational event and equipment failure investigations to ensure that the root cause/causal factors have been identified, corrective actions prescribed, and follow-up monitoring conducted as applicable, to determine effectiveness. Condition-based Maintenance - Understanding of moving and rotating equipment such as pumps, motors, gearboxes, conveyors, etc., from an operations and maintenance perspective, mechanically and electrically. - Experience w/ predictive maintenance technologies including, but not limited to, vibration analysis, oil analysis, infrared Thermography, ultrasound, and motor current analysis. - Plans and performs engineering operations, monitors operations center systems, RCM program implementation, process engineering assignments, root cause failure analysis, incorporation of condition-based maintenance (CbM and predictive testing and inspection (PT&I) technologies and conducts equipment condition assessments. Identify and manage system of continuous improvement to ensure resolution to chronic “bad actor” equipment. - Experience with Root Cause Analysis, Equipment Criticality Ranking, PM/PdM optimization, Defect Elimination, and/or Failure Modes and Effects Analysis. Workflow Management - Maintain complete and accurate records/plans within computerized maintenance management system (CMMS) related to equipment, specifications data, BOM, failure history, etc. - Develop and maintain “Key Performance Indicators" of equipment reliability. - Ensure that the appropriate Maintenance and Reliability metrics are in place throughout the site, (planned/unplanned work, planning/scheduling metrics, cost metrics, MTBF, replacement asset value, etc.). - Ensure equipment history is maintained and analyzed for future trends - Actively collaborate with Maintenance and Planning groups  Capital Asset Renewal/Capital Planning - Execute multi-discipline facility condition assessments across multiple labs, manufacturing, office, and distribution locations in the Americas. Inspect and document and prioritize asset and field conditions to evaluate remaining useful life. Document findings in detailed written report and database format - Compile and prioritize portfolio wide findings for client capital planning and lifecycle asset management programs - Supports commissioning activities for all upgrade, renovation, and construction projects which may include, but is not limited to, PM job plans, reviews for maintainability, critical spares, documentation, etc. Performs other work as assigned. Experience: - BS in an Engineering discipline, mechanical or electrical preferred. - Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches. - Experience with building automation systems and automated fault detection & diagnostics with integration of connected systems - Experience in critical/ regulated environments preferred (data centers, laboratories, manufacturing environments, automotive, petro-chemicals, pharmaceuticals etc.)  - Extensive knowledge of mechanical, electrical, plumbing and fire suppression systems. - Extensive knowledge of commercial, critical, manufacturing, labs, or distribution facility types required. - Ability to use variety of Computerized Maintenance Management Systems and IT tools Skills - Proven ability to read, comprehend and apply information from technical manuals and other reference materials - Ability to make informed recommendations in situations where data sets may be incomplete - Ability to balance multiple stakeholder requirements - Able to interpret how the organizational goals and strategy translate into service or departmental activity - Strong Microsoft Excel skills and ability to manipulate large amounts of data accurately using different spreadsheet formats Competencies - Strong interpersonal skills and collaborative approach – “One Family, One JLL” - Energizes others by showing passion and commitment - Self-aware; actively seeks, shares and actions feedback on own performance and of team. Advocates self-development - A self-starter with flexible and open-minded approach to working and drive to go “Beyond” - Systematic approach to work with high attention to detail - Ability to work without direct supervision - Embraces change and develops innovative solutions and challenges the “status quo” Certifications & Licenses:  - Certified Reliability Leader is preferred. - Certified Maintenance Reliability Professional is preferred.  - Level 2 thermography certification is preferred. - Level 2 vibration certification is preferred. - Level 2 ultrasound certification is preferred. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 100,000.00 – 110,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: Remote –Boston, MA, Wilmington, MA If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: - 401(k) plan with matching company contributions - Comprehensive Medical, Dental & Vision Care - Paid parental leave at 100% of salary - Paid Time Off and Company Holidays - Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

• The HPC Engineer is responsible for supporting and optimizing high performance computing resources used by researchers and data scientists to conduct advanced modeling, simulation, and data analysis. • This role works closely with the research community to improve application performance, optimize computational workflows, and ensure efficient use of HPC infrastructure including compute clusters, GPUs, high-speed networks, and storage systems. • Collaborate with researchers, data scientists, and engineers to optimize applications and workflows for HPC environments. • Analyze computational workloads and provide guidance on parallelization strategies, job scheduling, and resource allocation to maximize performance. • Support and tune HPC cluster environments including compute nodes, GPUs, high-speed interconnects, and parallel file systems. • Assist researchers with porting, compiling, and optimizing scientific codes using parallel programming models such as MPI, OpenMP, CUDA, and container-based environments. • Monitor HPC system utilization and performance metrics to identify opportunities for optimization and improved throughput. • Work with system administrators to design and implement improvements to cluster architecture, scheduling policies, and storage performance. • Provide user support and technical consulting to research teams using HPC resources. • Develop documentation, best practices, and training materials to help users effectively leverage HPC capabilities. • Support data-intensive research by optimizing workflows that integrate HPC compute resources with large-scale data storage and analytics platforms. • Contribute to continuous improvement of the HPC environment through testing, benchmarking, and adoption of emerging technologies.

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 graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) 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 $55 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.