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Machine Learning Engineer Python Jobs in Irving, TX

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Python Ability to work with multiple data sources and types (structured/semi-structured ... machine learning On call support Qualifications and Education Requirements Master's degree in a ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Proficiency in Python with strong software engineering skills and experience in building scalable ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Proficiency in Python with strong software engineering skills and experience in building scalable ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Proficiency in Python with strong software engineering skills and experience in building scalable ...

Machine Learning Engineer

Plano, TX · On-site

$120 - $190/hr

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

Lead Machine Learning Engineer

Plano, TX · On-site

$179 - $205/hr

## Lead Machine Learning EngineerApplylocations: Plano, TX: McLean, VAtime type: Full timeposted on ... Use programming languages like Python, Scala, or Java*****Basic Qualifications:***** **Bachelor ...

New

Lead Machine Learning Engineer

Plano, TX · On-site

$179 - $205/hr

Lead Machine Learning Engineer Join the Dealer Tech division within Capital One's Financial ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

New

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer Join the Dealer Tech division within Capital One's Financial ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer Join the Dealer Tech division within Capital One's Financial ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Python, Spark, and Databricks. Key Responsibilities: Analytics Model Development: * Analyze use ...

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Machine Learning Engineer Python information

See Irving, TX salary details

$22.1K

$134.4K

$194.4K

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

As of Aug 20, 2026, the average yearly pay for machine learning engineer python in Irving, TX is $134,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Irving, TX?

For Machine Learning Engineer Python jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Python jobs in Irving, TX look for?

The top searched job categories for Machine Learning Engineer Python jobs in Irving, TX are:

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Cities near Irving, TX with the most Machine Learning Engineer Python job openings:

Full-time

Posted 8 days ago


Job description

Overview

TeleWorld Solutions is seeking a Machine Learning Engineer for our team! As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers.

TeleWorld Solutions is a strategic wireless engineering and consulting firm offering network operators, OEMs and tower companies turnkey design, optimization, network dimensioning and deployment services. 

With the experience of hundreds of thousands of successful implementations, including macro, DAS, Small Cells, and Wi-Fi, the world's leading network operators and OEMs trust our knowledge and experience to plan, perform, troubleshoot, and implement an array of technologies and solutions.

Come join our Veteran-Friendly Team. The Company with Great Benefits and certified as "A Great Place to Work".

Responsibilities
  • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods.
  • 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment.
  • Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring.
  • Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful.
  • Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation.
  • Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions.
  • Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.
  • Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts.
  • Communicate key findings to stakeholders using visualizations and/or other suitable methods.
  • Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression.
  • Able to compile analysis output and findings into a succinct story for technical and non-technical audiences.
  • Adapt to changes in a dynamic business environment and, support management initiatives.
Qualifications
  • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred.
  • Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc.
  • Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake
  • Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling.
  • Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc).
  • Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.
  • Experience with MLOPS concepts and environments such as MLFLOW a plus.
  • Experience with basic linux administration and software development in a linux environment.
  • Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus
  • Must possess qualities of being curious and eagerness to learn .
  • Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices.
  • Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired.
  • Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus.
  • Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus.
  • Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired.
  • Must have a strong work ethic, integrity and work extremely well independently or in a team environment.

Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment:

  • Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company.
  • Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment

Join Our Veteran-Friendly Team:

Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team.

TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Employment Type: FULL_TIME