Classification: Non-Exempt
Grade: E2
Reports To: Project Manager or Team Lead
Working Hours: 8 to 12 hour shifts in a 24 X 7 schedule
Summary:
As an RF Data Collection Technician I, you will learn to collect cellular network baseline data and file reports back to company HQ. Drive Testers use vehicles in the performance of their duties and use test equipment to collect sensitive cellular network data. RF Data Collection Technician I will work in varying locations and perform various aspects of the job. This job is a good fit for people who:
- Are seeking an entry level position with opportunity for career growth.
- Are interested in electronics, radio signal theory and cellular communications.
- Have a good understanding of computers and software such as MS Outlook, Word and Excel, GPS navigation, file transfer protocol, and technical cellular phone applications.
- Can quickly master new business and technology software programs.
- Have no travel, driving or workday restrictions and can drive at night for an extended time.
- Can safely multi-task in a vehicle.
- Are very flexible in work hours and locations.
Essential Functions:
- Learn all aspects of the job quickly and work independently with little supervision.
- Collect propagation and signal measurement data for the analysis of RF performance.
- Measure field data for the base station to identify RF signals frequencies and respective power levels.
- Follow test plans, follow test site scheduling, understand equipment calibration and setup, RF signal measurement and basic data analysis.
- Work independently days or nights to gather relevant RF data, as required by the project.
Other Functions:
- Independently plan routes and manage time required to execute the amount of work that is planned for the project timeline (day/week).
- Quickly learn and retain relevant system knowledge through applied learning, reading of standards documents or other documentation and review of test plan documents.
- Resolve basic computer problems with navigation and data collection software.
- Demonstrate basic understanding of RF theory.
- Extended hours in a vehicle.
- Work on day shift or night shift as needed.
- Overnight hotel stays as needed, on occasion.
Requirements:
- Must be 21 or older.
- Must be based in or near the specified work location.
- Excellent driving record - with at least 2 years driving experience in the US.
- College desired, high school Graduate required.
- Must be willing to learn the TEMS, XCAL or other comprehensive RF data collection tools.
- Must have basic Microsoft Word, Excel and Outlook skills.
- Flexible to travel and work aggressive schedules including night shift.
- Must be able to pass standard background check including driving record.
- Good written and verbal English language communication skills.
Location:
600 International Drive
Budd Lake, NJ, 07828, United States
We are seeking a highly experienced Risk Analyst to perform third-party AI risk assessment as part of enterprise initiative to build a centralized Enterprise AI Risk Management System (“System”) to meet AI regulatory and internal governance requirements. The System will include, but not limited to, AI inventory management, AI Risk Management throughout the lifecycle including initiation, development, validation, deployment, monitoring, change management, retirement. The third-party AI inventory and risk management are integral part of the Enterprise AI Risk Management system. As an AI Risk Analyst, you are responsible for following and understanding evolving AI regulatory requirements (e.g., EU AI Act) and collaborating with various SMEs at client site to ensure their third-party AI uses globally are properly recorded and the associated AI risks are adequately assessed and mitigated. You will lead and drive the project by closely working with client's third party risk management team and relevant teams from third parties. The System will be delivered in a phased approach including, but not limited to:
- Global AI inventory creation and maintenance including existing AI/model inventory conversion.
- AI/model governance functions (e.g., model submission, validation and approval, AI use case assessment and approval including but not limited to data and privacy, security, intellectual property).
- Tracking and reporting functions.
Responsibilities:
Focusing on third-party AI risk assessment and integration to the Enterprise AI Risk Management system, this role will:
- Collaborate with third parties and client's cross-functional teams to collect and document AI use cases that would enable adequate risk assessment to meet regulatory requirements (e.g., identify and report prohibited and high-risk AI use cases meeting regulatory risk level definitions).
- Conduct thorough gap analysis and propose optimal scalable solution by effectively leveraging existing resources (including available platforms, systems, SMEs) and minimize redundant work.
- Initiate and drive necessary meetings with internal and external stakeholders to ensure proper communication and alignment on the functions (including, but not limited to, GUI design, logic flow of the governance requirements such as review and approval process) of the System and propose optimal solutions.
- Draft the third-party AI governance guideline or procedure including how to address AI inquiries from regulators, customers, and auditors.
- Test during and post system development to ensure the System functions are integrated well and work as intended, document all tests and outcomes, critical decisions made by stakeholders and rationale.
- Ensure any bugs or potential design/scalability issues identified during development and testing phases communicated timely to all relevant stakeholders and documented, and assist engineers and product managers to resolve timely.
- Manage the project proactively and play pivotal role in timely delivery.
Requirements:
- An advanced degree (bachelor or master) in an equivalent field such as business, management, management of information system.
- Solid understanding machine learning features/data, and AI/model lifecycle risk management.
- Third party AI/model risk management experience and Generative AI experience is highly desired.
- Excellent technical document writing skills to draft and maintain relevant documents including but not limited to BRD, meeting minutes, presentations, emails, project progress.
- Outstanding communication skills to be able to effectively present business goals, issues/challenges, gaps/findings, and solutions to both technical and non-technical stakeholders.
- Operate with velocity and an ownership mindset and proactively deliver great end-to-end results both independently and in a team environment.
- A passionate fast learner with ability to research, learn, and apply advanced technical and non-technical skills related to AI/model.
- Ability to build strong relationships with both internal and external stakeholders and ensure effective engagement.
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