Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Alpharetta, Georgia
Live, first seen by us 41 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and maintain ETL/ELT pipelines that centralize security data into the Cyber Data Hub
Build and secure backend web infrastructure and APIs for dashboards and AI model endpoints
Engineer data models and optimize relational and non-relational databases
Develop and deploy machine learning models for vulnerability risk scoring
Build CI/CD workflows and reusable automation for data processing and model training
Design, construct, and maintain highly scalable data pipelines (ETL/ELT) that ingest, transform, and centralize complex security data
Build, maintain, and optimize the backend web infrastructure required to securely serve data dashboards, reporting portals, and AI model endpoints
Engineer comprehensive data models (conceptual, logical, physical) and optimize relational and non-relational database architectures
Develop and deploy machine learning models and intelligent automation to enhance vulnerability risk scoring
Create reusable, automated frameworks and CI/CD workflows for data processing, web deployments, and model training
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Day 41
Similar jobs usually come down between day 6 and day 71.
Well past Verizon’s usual: its jobs come down by about day 12.
From 4,607 similar postings that came down, and 27 of Verizon’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Eight or more years of relevant experience required, demonstrated through one or a combination of job-related work experience, military experience, or specialized training or education (non-collegiate). - Experience in Python and SQL for complex data manipulation, ETL processes, and algorithmic development. - Advanced expertise in writing, optimizing, and debugging complex queries and schemas for relational (SQL Server, PostgreSQL, Oracle) and non-relational (MongoDB, Elasticsearch) databases, as well as modern Data Warehouses (e.g., Snowflake, BigQuery).
- Experience in Python and SQL for complex data manipulation, ETL processes, and algorithmic development. - Advanced expertise in writing, optimizing, and debugging complex queries and schemas for relational (SQL Server, PostgreSQL, Oracle) and non-relational (MongoDB, Elasticsearch) databases, as well as modern Data Warehouses (e.g., Snowflake, BigQuery). - Proven experience deploying, securing, and maintaining web infrastructure, REST APIs, and backend frameworks, as well as working with web servers/proxies.
- Exceptional ability to translate client needs into achievable technical requirements and present infrastructure/data roadmaps to executive leadership. - Advanced experience with cloud-native web hosting, containerization (Docker, Kubernetes), and serverless architecture. - Experience fine-tuning Large Language Models (LLMs) or building Retrieval-Augmented Generation (RAG) frameworks to run on top of your data infrastructure.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
Verizon’s Exposure and Vulnerability Management (EVM) Engineering and Reporting team is seeking a Sr. AI and Data Engineer to lead the development of our security data architecture, web infrastructure, and artificial intelligence models. In this role, you will be the hands-on driving force building scalable data pipelines, managing the web infrastructure that hosts our reporting solutions, and developing AI models to predict and prioritize cybersecurity vulnerabilities.
While you will build AI and predictive analytics solutions, your primary focus will be engineering the robust data pipelines, databases, and web services that make those intelligent insights possible. You will have the opportunity to influence the blueprint of how diverse asset data is structured, securely hosted, and meaningfully delivered to the security organization.
By engineering scalable data models, reliable web infrastructure, and intelligent AI pipelines, you will help ensure our infrastructure is ready for predictive analytics and that our reporting solutions provide proactive, automated insights rather than just historical data.
Key Responsibilities include:
We need a builder with a vision—someone who views complex security problems through the lens of data architecture, scalable web infrastructure, and intelligent automation. You should be deeply analytical, thrilled by processing massive datasets, capable of maintaining the web services that deliver those insights, and eager to leverage AI to stay ahead of emerging threats. You flourish in fast-paced environments and possess the technical credibility to guide both infrastructure execution and architectural direction.
You'll need to have:
Even Better if You Have:
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Alpharetta, Georgia
Where you’ll be working In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours
No clear work-authorization passage found. Eligibility is unconfirmed.