1

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

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

... or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow ... Expertise with scaling pilot machine learning solutions to a large scale production environment ...

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

Data Scientist

Austin, TX · On-site

$147.75 - $210.43/hr

Proficiency in Python, R, or similar programming languages. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). * Strong statistical analysis and data visualization skills.

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark). * Deep understanding of cloud-based networking. * Experience using Big Data technologies like Spark, Hive etc.

Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra. Machine Learning: Knowledge of algorithms and libraries ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Build, test, and validate statistical, and machine learning models and analyses using Python, R, or ... 24/7 on-call rotation. The duties and responsibilities in this posting are representative ...

Showing results 21-40

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:

Intern/Aide - Part-time

Baylor College of Medicine

Houston, TX • On-site

$14.25 - $19/hr

Part-time, Internship

Re-posted 5 days ago


Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities


Job description

Summary

The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall, the position will offer great exposure to genomic data science and advanced machine learning. The PI will identify the specific datasets and machine learning algorithms. The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. 

Job Duties
  • Learns to formulate machine learning problems.
  • Learns to implement machine learning algorithms using Python/R.
  • Learns to fit machine learning models on biological data.
  • Identifies the specific datasets and machine learning algorithms.
  • Implements the algorithms in Python/R and fit them on the datasets in our cluster computers.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • Must be enrolled in high school, trade/vocational school or higher education institution. 
Preferred Qualifications
  • Undergraduate or graduate students enrolled in program for computer science or statistics or computational biolgy or biomedical sciences. 
  • Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning).
  • Familiarity with cutting-edge models such as foundation models, large language models, diffusion models, is a plus.

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom