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Machine Learning Engineer Opt Jobs in El Paso, TX

Software Engineer II

El Paso, TX · On-site

$88K - $120K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Software Engineer II

El Paso, TX · On-site

$88K - $120K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Software Engineer II (Onsite)

El Paso, TX · On-site

$88K - $120K/yr

Machine Learning and Autonomous Systems * Cyber Security * DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople ...

New

Python Tutor

El Paso, TX · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

... Machine Learning (ML) related initiatives, both in the federal and commercial space. We are ... As a Field Systems Engineer, you will monitor and respond to service requests to also include the ...

New

... Machine Learning (ML) related initiatives, both in the federal and commercial space. We are ... As a Field Systems Engineer, you will monitor and respond to service requests to also include the ...

New

... Machine Learning (ML) related initiatives, both in the federal and commercial space. We are ... As a Field Systems Engineer, you will monitor and respond to service requests to also include the ...

New

Showing results 41-60

Machine Learning Engineer Opt information

See El Paso, TX salary details

$28.5K

$116.5K

$175K

How much do machine learning engineer opt jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning engineer opt in El Paso, TX is $116,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $140,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in El Paso, TX?

For Machine Learning Engineer Opt jobs in El Paso, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in El Paso, TX look for?

The top searched job categories for Machine Learning Engineer Opt jobs in El Paso, TX are:

What cities near El Paso, TX are hiring for Machine Learning Engineer Opt jobs?

Cities near El Paso, TX with the most Machine Learning Engineer Opt job openings:

Spacecraft Aerospace Engineer with Security Clearance

Las Cruces, NM • On-site

Peraton
IT Services • 10K+ employees

$51K - $82K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz


Job description

About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure. About The Role Peraton has an opening for a Spacecraft Engineer at the White Sands Complex in Las Cruces, NM. The Spacecraft Engineer will join a team of engineers dedicated to maintaining the health and safety of the Tracking and Data Relay Satellite (TDRS) fleet. Peraton is the prime contractor for NASA at the White Sands Complex (WSC) near Las Cruces, New Mexico. Operating here are two functionally identical satellite ground terminals: The White Sands Ground Terminal, and the Second TDRSS Ground Terminal. These ground terminals ensure uninterrupted communications between various ground stations, NASA's orbiting fleet of Tracking and Data Relay Satellites (TDRS), customer spacecraft (satellites), and the computer systems that support such spacecraft. WSC serves as an interface for distributing satellite data to control centers and scientists who then use the daily influx of data to expand our ever-growing knowledge of the Earth and the universe. This position will be responsible for the following: * Perform daily monitoring and trending of TDRS spacecraft state-of-health data.
* Perform mission planning on assigned spacecraft to include geosynchronous station-keeping and station relocation maneuvers, momentum wheel unloading activities, and decommissioning events such as depletion of remaining onboard fuel and component passivation.
* Develop and validate procedures used by operations personnel for execution of various mission planning activities.
* Lead spacecraft operations activities as a Test Conductor, providing engineering guidance to the Satellite Controllers as well as second-person verification for all commands transmitted to the spacecraft.
* Analyze and identify spacecraft anomaly root causes. Plan and execute anomaly recovery actions.
* Investigate and resolve any assigned spacecraft discrepancy reports.
* Provide on-the-job training to peers as experience is gained.
* Occasional work during nights or weekends is required when directing irregular activities, providing launch support, or assisting with anomaly recoveries.
* Perform short-term ephemeris propagation on assigned spacecraft and produce various predictive reports for operations reference to include eclipse and intrusion events, ground antenna look angles and RF intrusion events, and spacecraft to celestial body look angles.
* Conduct long-term ephemeris propagation on assigned spacecraft using Systems Tool Kit (STK) to ensure the integrity of various orbital characteristics such as inclination, eccentricity, and altitude as well as determine look angles and access to several ground sites.
* Become familiar with configuring flight simulation software/hardware for the purposes of training, anomaly replication, and procedure execution proficiency.
Qualifications Required: * Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or related field.
* At least 2 years of experience working in spacecraft operations.
* Security clearance - this position requires the candidate to be able to obtain a DoD Secret security clearance and to maintain the clearance thereafter. * You must be a US Citizen and show proof of citizenship.
* Must be able to maintain ability to access government worksite.Desired: * Active Secret security clearance.
* MS degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related field.
* 5+ years of experience working in spacecraft operations.
* Previous experience with spacecraft attitude control subsystems, planning or executing spacecraft maneuvers, and performing data trending/analysis.
* Previous experience with Tracking and Data Relay Satellites (TDRS) is a plus.
* Proficiency with Systems Tool Kit (STK), Python, Visual Basic, MATLAB, or LabVIEW.
* Experience using Artificial Intelligence (AI) or Machine Learning (ML) tools for data analysis.
* Demonstrated written and oral communication skills, including ability to communicate effectively with peers and management.
* Proficient with MS Office Suite (Excel, Word, PowerPoint). Details Target Salary Range: $51,000 - $82,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits. Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate's own. EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017