Role Description Eaton’s Electrical Engineering Services & Systems (EESS) division delivers end‑to‑end engineering, integration, and field services that keep electrical power systems running safely and reliably. Within EESS, our Power Systems Controls (PSC) team develops the control solutions behind automatic transfer systems, generator paralleling, load management, and microgrid control. As we continue to grow, we are hiring a Training Specialist to help elevate our team’s technical capabilities. In this role, you’ll develop, coordinate, and deliver training that ensures our engineers and field personnel stay aligned, skilled, and ready to support the evolving needs of our customers and the future of energy. The expected annual salary range for this role is $97,000 - $143,000 a year. This position is also eligible for a variable incentive program. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. What you’ll do: - Turn PSC standards, tools, and design methods into clear, practical learning experiences that strengthen internal capability across the organization. - Help drive consistency, skill growth, and knowledge retention—ensuring PSC methods are applied effectively in real‑world projects. - Empower engineers, strengthen execution, and support the future of power system controls. The key responsibilities will include: - Developing and maintaining technical training materials for PSC personnel, including instructor-led courses and web-based learning focused on control system architectures, software templates, and standard design practices. - Delivering training programs that support consistent application of PSC engineering methods across projects and platforms, with the goal of reducing design variability and rework. - Converting engineering standards, templates, and internal guidance into structured training content that clearly communicates technical intent, constraints, and common application pitfalls. - Supporting onboarding of new PSC engineers by providing role-appropriate training that accelerates time to productivity and reinforces expected engineering practices. - Working with PSC subject matter experts to capture lessons learned, updates to standard designs, and evolving practices and incorporate them into training curricula. - Supporting customer-facing training activities when required, ensuring customers understand PSC control system operation, configuration, and maintenance at an appropriate level. - Tracking training participation and curriculum coverage and providing feedback to PSC leadership to support continuous improvement of training programs. Qualifications - Bachelor’s degree in Engineering from an accredited institution with minimum 7 years of controls experience OR Master's degree with at least 5 years of controls experience OR a minimum 10 years of controls experience in power distribution applications. - Must possess and maintain a valid and unrestricted driver’s license. Requirements - Eaton will not consider applicants for employment immigration sponsorship or support for this position. - Ten (10) or more years of experience in power system controls or industrial automation, including experience developing, standardizing, or teaching control system designs, software architectures, or engineering practices. - Professional Engineering License. - Knowledge of Power Monitoring and Control Systems and associated protocols (Modbus, DNP3, IEC-61850). - Ability to successfully complete and maintain compliance with Eaton’s safety programs and policies. - Ability to work safely around energized and de-energized electrical equipment in industrial and commercial customer environments. - Strong understanding of software development and testing practices applicable to industrial automation and control systems. - Demonstrated ability to develop clear, accurate, and well-structured technical documentation and training materials. - Submit to periodic customer required background and drug screenings. Benefits - Various Health and Welfare benefits. - Retirement benefits. - Programs that provide for paid and unpaid time away from work.

Role Description This position will support the ongoing development, maintenance, automation, and scaling of an advanced operational intelligence and governance analytics platform currently under active development. We are specifically looking for a candidate with strong technical and analytical capabilities who can eventually operate independently within a structured framework. Responsibilities: - Running and validating Python scripts - SQL data processing - Dataset normalization - CSV ingestion and cleanup - Folder structure management - Backup and rollback validation - Dashboard support - Power BI support - QA validation of outputs - Data lineage verification - Automation support - Documentation of daily system activity - Execution log review - Governance workflow support The system includes: - Large operational datasets - SQL operations - Python-based analytics - AI-assisted processing - Governance analytics - RCA / escalation intelligence - Timestamp correlation - Operational reconstruction - Power BI visualization - CSV normalization and automation - Data pipeline governance - Executive operational reporting Qualifications - Strong Python experience - Strong SQL experience - Strong Microsoft Excel experience - Experience with CSV handling and large datasets - Experience with pandas (Python library) - Experience with Power BI or dashboard development - Data normalization / ETL experience - File structure and folder governance discipline - Ability to work with large operational datasets - Ability to follow structured naming conventions and workflows Requirements - Be highly detail-oriented - Be extremely organized - Be able to follow strict governance protocols - Be comfortable working with evolving systems - Be comfortable documenting work daily - Be able to learn quickly - Be comfortable with repetitive validation and auditing tasks - Be proactive and solutions-oriented - Be trustworthy and professional - Be capable of handling confidential operational information responsibly - Be comfortable working independently after training - Be responsive during working hours - Be capable of long-term system support and scaling - Be comfortable with continuous improvement environments Benefits - Competitive Base Pay: We offer the highest base pay in the home care industry! - Make a Difference: You’ll play a key role in ensuring that clients receive the best service. - Fun & Supportive Team: We’re a tight-knit group that values collaboration, compassion, and a good laugh. Company Description At Helper Heroes, we’re on a mission to provide exceptional care and support to home care agencies in the U.S. We believe in true partnership where our virtual assistants act as an extension of the care team. Our goal is to ensure a compassionate, innovative, and efficient care experience for clients and families alike.

- Implements and maintains EpicCare systems and databases to ensure optimum performance. Performs analysis of new releases and determines how they will impact workflow. - Defines modifications to application software or databases to address system functions or enhancements. - Facilitates Epic updates, new releases and system enhancements. Manages all phases of testing and assists Lead/Project Manager in work effort and project scoping. - Manages complex IT projects/products in order to provide automated solutions that meet Inova Health System's business needs using the EpicCare solution. - Initiates issues for resolution while escalating and communicating status to management in a timely manner. - Conducts and participates in system technical and application reviews to determine feasibility, cost and evaluate usefulness for Inova. Coordinates vendor demos, site visits and reference calls. - Makes recommendations for team/analyst training programs and assists in the development and implementation of team member training/mentoring activities.

• ML Pipeline & Data Systems Development: Design, build, and maintain scalable pipelines that span data ingestion, annotation, validation, training, evaluation, and deployment, ensuring reproducibility, consistency, and traceability across the full ML lifecycle. • Data & Annotation Pipeline Integration: Build and integrate annotation workflows with upstream data ingestion and training systems, enabling efficient task creation, labeling, QA, and dataset updates that directly support model iteration. • Data-Centric Iteration: Analyze model performance and failures, and drive targeted data improvements by connecting production signals, data mining, and annotation workflows into continuous feedback loops. • Experimentation & Reproducibility: Implement systems for experiment tracking, dataset versioning, and model lineage to enable reliable comparison and iteration across experiments. • CI/CD for Machine Learning: Develop and maintain CI/CD workflows tailored to ML systems, enabling automated testing, validation, and deployment of models and pipelines. • Model Deployment Support: Collaborate with embedded and platform teams to support the deployment of models to edge environments, ensuring compatibility, performance, and reliability. • Monitoring & Feedback Loops: Implement monitoring, logging, and feedback systems to track model performance in production and drive continuous improvement through data and model iteration. • Compute Optimization: Optimize training and inference workflows across cloud environments, including efficient utilization of GPU and compute resources. • Cross-Functional Collaboration: Work closely with applied scientists, embedded engineers, and data teams to ensure alignment across data workflows, model development, and deployment systems. • End-to-End Contribution: Participate in and improve the full ML lifecycle, from raw data ingestion and annotation through training, evaluation, deployment support, and post-deployment analysis.