Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Consultant Machine Learning Engineer & AI Product Lead r
Round Rock, TX, United States
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDrive AI products from proof of concept through production deployment
Build high-performance ML pipelines and production-grade inference services
Establish MLOps practices including CI/CD, automated retraining, and drift detection
Define product roadmaps and technical specifications with business stakeholders
Build scalable applications for internal and external customers
From the employer’s posting
You will drive AI products from discovery and proof-of-concept through to production deployment
In addition to building high-performance ML pipelines, production-grade inference services, and automation scripts
Establish and champion MLOps best practices, including continuous integration/continuous deployment (CI/CD), automated retraining pipelines, drift detection, and observability
collaborating with business stakeholders and engineering teams to define & determine software & product requirements, technical specifications, and system impacts
Develop high availability and highly scalable applications which will be used by both internal and external customers.
What you’ll bring
All qualificationsCore experience
- 10+ years of professional experience in machine learning engineering, applied data science, or technical AI product leadership delivering enterprise-grade ML solutions.
- Master’s degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Demonstrated experience with MLOps frameworks, containerization (Docker, Kubernetes), workflow orchestration (Airflow, Kubeflow), and cloud-native deployments (AWS, Azure, or GCP).
- Experience acting as a Technical Product Manager (TPM) or lead product owner in an agile ML/AI engineering environment.
- Familiarity with graph query languages (Cypher, SPARQL), ontology modeling, or leveraging Graph Neural Networks (GNNs) alongside traditional predictive modeling
Qualification wording
10+ years of professional experience in machine learning engineering, applied data science, or technical AI product leadership delivering enterprise-grade ML solutions.
Master’s degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
Demonstrated experience with MLOps frameworks, containerization (Docker, Kubernetes), workflow orchestration (Airflow, Kubeflow), and cloud-native deployments (AWS, Azure, or GCP).
Experience acting as a Technical Product Manager (TPM) or lead product owner in an agile ML/AI engineering environment.
Familiarity with graph query languages (Cypher, SPARQL), ontology modeling, or leveraging Graph Neural Networks (GNNs) alongside traditional predictive modeling
Education & alternatives
- Desirable Requirements: - Master’s degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. - Experience acting as a Technical Product Manager (TPM) or lead product owner in an agile ML/AI engineering environment.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Oct 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 8 and day 76.
From 5,460 similar postings that came down. Coming down is not always a hire.
Dell Technologies is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
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.
- Bash
- Python
- Shell
- AWS
- Azure
- Docker
- GCP
- Kubernetes
- Airflow
Where the posting names them
- Strong product management acumen with proven experience leading technical product lifecycles, defining product roadmaps, writing functional/technical specifications, and managing cross-functional stakeholder alignments. - Advanced scripting and programming proficiency in Python and Shell/Bash for rapid prototyping, automation, data engineering, and production service development. - Demonstrated experience with MLOps frameworks, containerization (Docker, Kubernetes), workflow orchestration (Airflow, Kubeflow), and cloud-native deployments (AWS, Azure, or GCP).
- Advanced scripting and programming proficiency in Python and Shell/Bash for rapid prototyping, automation, data engineering, and production service development. - Demonstrated experience with MLOps frameworks, containerization (Docker, Kubernetes), workflow orchestration (Airflow, Kubeflow), and cloud-native deployments (AWS, Azure, or GCP). - Desirable Requirements:
Your next step
Complete your application on enterpriseplatform.dell.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About Dell Technologies
- People
- About 97,000 in 2026, down 10% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DELL.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
About the role
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.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
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.
Job description
Consultant Machine Learning Engineer & AI Product Lead
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand-new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound impact as a Consultant Machine Learning Engineer & AI Product Lead on our growing and dynamic team in Round Rock, Texas.
What you’ll achieve
Lead the technical vision, product roadmap, and end-to-end delivery of enterprise-scale machine learning solutions across Dell’s global ecosystem. As a Consultant Machine Learning Engineer & AI Product Lead, you will sit at the intersection of advanced machine learning engineering, rapid scripting and automation, product management, and semantic data integration. You will drive AI products from discovery and proof-of-concept through to production deployment, translating complex business problems into actionable technical roadmaps and robust ML systems. In addition to building high-performance ML pipelines, production-grade inference services, and automation scripts, you will leverage knowledge graph technologies to enhance data context, retrieval, and decision-making across our AI ecosystem.
You will
- Lead Design and development of activities associated with software using a range of applicable technologies (e.g., programming languages, compilers, assemblers, debuggers, other tools) for products used in local, networked or Internet-related computer programs.
- Drive the product strategy and technical roadmap for enterprise AI/ML initiatives, collaborating with business stakeholders and engineering teams to define & determine software & product requirements, technical specifications, and system impacts
- Develop high availability and highly scalable applications which will be used by both internal and external customers.
- Create technical documentation and functional test use cases.
- Analyze business requirements, processes, data, and system integration points to determine and recommend appropriate technology solutions.
- Establish and champion MLOps best practices, including continuous integration/continuous deployment (CI/CD), automated retraining pipelines, drift detection, and observability
Work closely with the global development team, senior Solution Architects, and executives within the Engineering group and other functions to plan ongoing feature development, product maintenance, and development team management
Take the First Step Towards Your Dream Career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:Essential Requirements:
- 10+ years of professional experience in machine learning engineering, applied data science, or technical AI product leadership delivering enterprise-grade ML solutions.
- Strong product management acumen with proven experience leading technical product lifecycles, defining product roadmaps, writing functional/technical specifications, and managing cross-functional stakeholder alignments.
- Advanced scripting and programming proficiency in Python and Shell/Bash for rapid prototyping, automation, data engineering, and production service development.
- Demonstrated experience with MLOps frameworks, containerization (Docker, Kubernetes), workflow orchestration (Airflow, Kubeflow), and cloud-native deployments (AWS, Azure, or GCP).
- Desirable Requirements:
- Master’s degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Experience acting as a Technical Product Manager (TPM) or lead product owner in an agile ML/AI engineering environment.
Familiarity with graph query languages (Cypher, SPARQL), ontology modeling, or leveraging Graph Neural Networks (GNNs) alongside traditional predictive modeling
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Round Rock, TX, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.