Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Salary Not Available
Position range in Williamson County $80k - $148k Per Year Consultant, Machine Learning Engineer
(Confidential)
Occupation:
Software Developers
Location:
ROUND ROCK, TX - 78682
Job Type:
Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift
Posted:
06/16/2026
Positions available: 1
Source:
WorkInTexas
Web Site:
WorkInTexas
Onsite /
Remote:
Not Specified
Updated:
06/19/2026
Expires:
07/24/2026
Agency Job ID:
1536589
Job #: 17028234
Job Requirements and Properties
Help for Job Requirements and Properties. Work Onsite
Full Time Education
Bachelor's Degree Experience
96 Month(s) Schedule
Full Time Job Type
Regular Duration
Permanent Employment Hours
40 Hours Per Week Shift
Day Shift Public Transit
Available Help for . Dell USA L.P. seeks a Consultant, Machine Learning Engineer in Round Rock, TX (can work remotely) to engineer end-to-end, performant and scalable solutions using techniques from machine learning, optimization, software engineering, and data engineering. Develop high availability and highly scalable APIs with low latency. Work on orchestration of Machine Learning workflows to create end-to-end automated pipelines. Apply advanced machine learning techniques to solve real world problems with business insights based on large-scale data.
Requirements:
Bachelors degree in Electronic Engineering, Computer Science, Information Technology, Mathematics, Statistics, or related field plus eight (8) years of experience in Machine Learning/Data Science Engineering, Software Engineering, IT Analysis, or related occupation. Alternatively, a Masters degree in Electronic Engineering, Computer Science, Information Technology, Mathematics, Statistics, or related field plus six (6) years of experience in Machine Learning/Data Science Engineering, Software Engineering, IT Analysis, or related occupation.
Experience must include:
Analytics, Machine Learning, and Software Engineering; Python, SQL, Java, apply machine learning, data modeling, data processing and ingestion techniques to create deployable solutions on large-scale data; Code optimization, model and system validation, and model governance; Developing end-to-end solutions and automated pipelines; Relational databases (e.g. SQL Server or any other based on the SQL or T-SQL query language), NoSQL databases (e.g. Mongo DB, Cassandra or any other NoSQL type platform), and Cloud solution platforms (Microsoft Azure or Amazon Web Services (AWS)); Big data technologies including Spark, Kafka Messaging, and Storm; OCR and data extraction tools, including some combination of AWS Textract, Abby OCR, and/or Open CV; Implementing production grade solutions to handle high volume, high velocity data traffic and scaling for low-latency environments; Model and API governance and monitoring for large-scale business use cases with low-latency requirements; Code optimization for existing data streams, machine learning models, and APIs using software engineering and experimental design; and containerization technologies, including Docker and Kubernetes.
