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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 ...

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 ...

Skills and Tools Required: - Strong proficiency in programming languages such as Python or R. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Solid ...

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 ...

Strong proficiency in programming languages such as Python or R. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Solid understanding of statistical analysis ...

Machine learning concepts * Data visualization * Proficiency in: * SQL * Python or R * Excel * Tableau / Power BI Key Responsibilities * Develop, maintain, and optimize pricing and predictive models ...

Machine Tech II (R)

Odessa, TX

$20.25 - $26/hr

The (R)otational Machine Technician II is responsible for providing high quality repair service on ... Flexibility to work various schedules including shift work, required overtime and on call. WHY WORK ...

... intelligence, machine learning, or advanced analytics • 5+ years of leadership experience ... R. Founded in 1978, the company is headquartered in Hoover, USA, with a team of 5001-10000 ...

In this role, you'll leverage advanced analytics, machine learning, and visualization tools to ... R and SQL, including database management tasks • Develop reproducible reports using Markdown ...

Machine Tech II (R)

Odessa, TX · On-site

$20.25 - $26/hr

The (R)otational Machine Technician II is responsible for providing high quality repair service on ... Flexibility to work various schedules including shift work, required overtime and on call. WHY WORK ...

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

In this role, you'll leverage advanced analytics, machine learning, and visualization tools to ... Maintain and enhance existing code in R and SQL, including database management tasks * Develop ...

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Showing results 1-20

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:
Senior Machine Learning Engineer, DevOps/SRE

Senior Machine Learning Engineer, DevOps/SRE

Roku

Austin, TX

$128K - $165K/yr

Other

Posted 22 days ago


Key responsibilities

  • Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP.

  • Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases.

  • Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases.


Job description

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform, which powers the entire landscape, and we continuously evolve. 

About the role 

We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure. The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling - with a passion for building platforms that accelerate ML experimentation and deployment at internet scale. 

You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring - on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc.

 What you'll be doing 
  • Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments
  • Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases
  • Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases
  • Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics
  • Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure
  • Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices
  • Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement
We're excited if you have 
  • BS or MS in Computer Science, Engineering, or a related quantitative field
  • 8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems
  • Strong programming skills in Python and/or Scala or Java for platform automation and tooling
  • Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS)
  • Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies
  • Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka
  • Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner
  • Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow
  • Strong infrastructure-as-code experience with Terraform or similar tooling
  • Experience with observability platforms such as Prometheus, Grafana, and Datadog
  • Excellent communication and cross-functional collaboration skills
  • Experience in the Advertising domain is a plus 
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