1

Executive Full Stack Machine Learning Engineer Jobs in Texas

Full Stack AI Engineer

Plano, TX · On-site

$120 - $165/hr

Responsibilities * The Full Stack AI Engineer is a hybrid technical and client-facing role ... A foundation in software engineering, with exposure to machine learning or solutions engineering ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... This means seeing the value in everyone and unlocking their full potential to be their best self.

Java Full stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

Machine Learning ( Llama, Python etc). * Experience: Minimum 7 years. * This is a Full stack Software Development Engineer role. The Team builds next generation AI and Search platforms for the bank ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

New

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

New

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... This means seeing the value in everyone and unlocking their full potential to be their best self.

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... This means seeing the value in everyone and unlocking their full potential to be their best self.

They are seeking a Senior Full Stack Engineer to lead and build scalable systems, guide product ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Showing results 21-40

Executive Full Stack Machine Learning Engineer information

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Texas?

The most popular types of Full Stack Machine Learning Engineer jobs in Texas are:

What cities in Texas are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities in Texas with the most Executive Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

TeleWorld Solutions

Plano, TX • On-site

Other

Posted 10 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.