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On Call Machine Learning R Jobs in Texas (NOW HIRING)

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

... machine learning, optimization etc. in business analytics or scientific/engineering settings • Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python ...

New

Machine Learning and Deep Learning experience Basic Qualifications: * Minimum 6 years of experience ... Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated ...

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... machine learning. * Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization. * Proficiency in Python and R, with ...

Lead the design and implementation of advanced machine learning, generative AI, statistical ... Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing ...

... machine learning in a heterogeneous domain environment Do you have what it takes to be a Senior Data Scientist at H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C ...

... machine learning in a heterogeneous domain environment Do you have what it takes to be a Senior Data Scientist at H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C ...

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

In this role, you will lead a high-performing team of Data Scientists and Machine Learning ... Strong programming experience in Python or R, with proficiency in SQL and modern data/ML ecosystems.

D. in Computer Science, Data Science, Statistics, Mathematics, or related field. * 10+ years of experience in data science or applied machine learning roles. * Strong programming skills in Python, R ...

Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation in SQL * Experience applying various machine learning techniques, specifically neural networks and ...

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

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On Call Machine Learning R information

What is the difference between On Call Machine Learning R vs Data Scientist?

AspectOn Call Machine Learning RData Scientist
Required CredentialsTypically requires proficiency in R, statistical analysis, and some machine learning knowledgeRequires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise
Work EnvironmentOften on-demand, project-based, or support roles within organizations or consulting firmsFull-time roles in various industries, involving data analysis, model development, and strategic insights
Employer & Industry UsageUsed by companies needing immediate machine learning support or troubleshootingEmployed across industries for data-driven decision making and predictive modeling

While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.

What are the most commonly searched types of Machine Learning R jobs in Texas? The most popular types of Machine Learning R jobs in Texas are:
What cities in Texas are hiring for On Call Machine Learning R jobs? Cities in Texas with the most On Call Machine Learning R job openings:

Data scientist with AI/ML

WaltaSoft Technologies

Texas City, TX • On-site

Other

Posted 2 days ago


Job description

Job Title: Principal AI/ML Architect Data Science

Location: Onsite - Teaxs Locals

Experience: 12+ Years

Role Summary

We are seeking a highly experienced Principal AI/ML Architect with 12+ years of expertise in Data Science, Artificial Intelligence, Machine Learning, and Enterprise Analytics. The ideal candidate will lead the design, development, and deployment of scalable AI/ML solutions that drive business transformation. This role will be responsible for defining AI strategy, architecting enterprise-grade ML platforms, mentoring technical teams, and partnering with business stakeholders to deliver measurable outcomes through advanced analytics and intelligent automation.

Key Responsibilities
  • Define and drive enterprise AI/ML architecture strategy aligned with business objectives.
  • Design scalable machine learning, deep learning, and generative AI solutions for large-scale production environments.
  • Lead end-to-end AI lifecycle including data ingestion, feature engineering, model development, deployment, monitoring, and governance.
  • Architect cloud-native AI platforms leveraging AWS, Azure, or Google Cloud Platform services.
  • Develop MLOps frameworks for continuous integration, deployment, monitoring, and model governance.
  • Design and implement predictive, prescriptive, and generative AI solutions across multiple business domains.
  • Lead architecture reviews, technical design sessions, and AI governance initiatives.
  • Collaborate with Data Engineers, Data Scientists, Product Owners, and Executive Leadership to define AI roadmaps.
  • Establish best practices for model explainability, fairness, security, compliance, and responsible AI.
  • Mentor and guide teams on advanced AI/ML methodologies and emerging technologies.
Required Qualifications
  • 12+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and Enterprise Data Platforms.
  • Strong expertise in Python, SQL, R, and advanced statistical modeling.
  • Extensive experience with Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI technologies.
  • Hands-on experience with LLMs, RAG architectures, AI Agents, Prompt Engineering, and Vector Databases.
  • Expertise in MLOps frameworks including MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI.
  • Strong knowledge of distributed computing frameworks such as Spark and Databricks.
  • Experience designing cloud-native AI solutions on AWS, Azure, or Google Cloud Platform.
  • Deep understanding of data architecture, data governance, and AI security principles.
  • Experience leading enterprise-scale AI transformation programs.