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On Call Machine Learning R Jobs (NOW HIRING)

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

S. or higher in Computer Science, Machine Learning, AI, or related fields. * 3+ years of experience in Machine Learning R&D. * Proficiency in Machine Learning and NLP techniques and tools.

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information ... Proficiency in programming languages such as Python, R, or Java. Knowledge of data manipulation and ...

Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

Developer We can consider associates with Python and R experience. Experience range will be 3-5 years. • Hands-on experience with various machine learning algorithms like Naïve Bayes, Logistic ...

... on-call schedule to maintain production stability. Qualifications : Required : • Experience ... machine learning models from research to production • Collaborative mindset, enjoy working ...

Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ... Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit ...

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

Strong proficiency in programming languages such as Python, R, or Java. * Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Solid ...

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

... machine learning (e.g., Python, R, C, C++). • 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule). • 1+ year of experience working in a large ...

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On Call Machine Learning R information

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$25.5K

$42.6K

$88K

How much do on call machine learning r jobs pay per year?

As of Jun 3, 2026, the average yearly pay for on call machine learning r in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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

Machine Learning

Demoind

California, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Overview:
Job description
Job Responsibilities :
- Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.
- Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making.
- Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting.
- Research on innovative technologies to come up .
- Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.
- Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience
Job Requirements :
- Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science.
- Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques.
- Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability.
- Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must.
- Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models.
Skills : PYTHON, ANALYSIS
RoleMachine Learning Engineer
Industry TypeIT Services & Consulting
Functional AreaData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryData Science & Machine Learning
Education
UG :B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
PG :M.Tech in Computers, MS/M.Sc(Science) in Computers, Statistics, MCA in Computers, M.A in Statistics
Doctorate :Ph.D/Doctorate in Statistics, Computers
Key Skills
Machine Learning
R, SAS,Artificial Intelligence,MATLAB,Python
Skills:
MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING