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Machine Learning Engineer Opt Jobs in Dallas, TX

Cisco

Principal Machine Learning Engineer

Dallas, TX · On-site

$291.50K - $369.10K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

New

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101.20K - $138.90K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101.20K - $138.90K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

Invictus Strategy & Solutions

Sr. ML Ops Lead

Fort Worth, TX

$98.20K - $129.40K/yr

Summary Invictus Strategy & Solutions is seeking a Senior Machine Learning Engineer and MLOps POD Lead to join our growing technical delivery team in Fort Worth, Texas. This on-site role requires ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Dallas, TX

Machine Learning Engineer Opt information

See Dallas, TX salary details

$31.2K

$127.4K

$191.4K

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

As of May 30, 2026, the average yearly pay for machine learning engineer opt in Dallas, TX is $127,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,300.00 per year, depending on experience, location, and employer.

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 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 Machine Learning Engineers?

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 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 Dallas, TX? For Machine Learning Engineer Opt jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Dallas, TX look for? The top searched job categories for Machine Learning Engineer Opt jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Engineer Opt jobs? Cities near Dallas, TX with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Dallas, TX as of May 2026, with employment types broken down into 12% Internship, and 88% Full Time. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $127,383 per year, or $61.2 per hour.
Big Data/ Machine Learning Engineer

Big Data/ Machine Learning Engineer

Avani Technology Solutions, Inc.

Plano, TX • On-site

$52 - $69/hr

Full-time

Posted 8 days ago

Job description

Big Data/ Machine Learning Engineer
Plano, TX
2 Months
No C2C, any visa is okay.
Basic Qualifications
Bachelor's Degree
  • At least 8 years of software development experience
  • At least 5 years of experience managing software development projects through complete release cycles and working with cross-functional business and technology teams
  • At least 5 years experience with Distributed Computing and Linux
  • At least 5 years experience with Programming (Python or Java)
  • At least 3 years experience in people management
  • At least 3 years experience with Cloud Computing (AWS)
  • At least 3 years experience with Databases (SQL, RDBMS) At least 2 years experience with Container environment (ECS)

Responsibilities
Work with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs.
Ensure adherence to defined development life cycle, good software design practices, and Architecture strategy and intent.
Partner with business systems analysts (BSAs), project managers (PMs), and customers to understand the scope of work, priorities, and requirements for development.
Work with DevOps leaders to define and align on standard operating procedures and best practices.
Automate the provisioning of environments.
Developing and enabling continuous integration/continuous deployment (CI/CD) for system components.
Troubleshooting problems, involving the appropriate resources and driving resolution of issues with a focus on minimizing impact to our customers.
Coordinate coding, testing, implementation and documentation of solutions.
Preferred Qualifications
At least 3 years experience with API based services At least 3 years experience in Agile (Jira) At least 2 years experience with Big Data (Hadoop, EMR) AWS Certified (Associate or Professional)

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