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ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125R2 Technologies • United States
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ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125

R2 Technologies
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  • US
    United States
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  • US
    United States
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À propos

R2 Technologies Corporation (R2) , headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
ML-Driven Data Engineer (Predictive Analytics Pipelines)
Location:
Alpharetta, GA (willing to travel to client locations)
Employment Type:
Full-Time (W2)
Role Overview
We are seeking a skilled ML-Driven Data Engineer to build predictive analytics pipelines using Spark or Python. This role focuses on developing real-time and batch pipelines to support machine learning models for actionable insights.
Key Responsibilities
Design and implement predictive analytics pipelines using Spark or Python for real-time and batch processing. Develop data workflows to preprocess and feed data into machine learning models for analytics. Integrate ML models into pipelines for automated inference and continuous learning in production. Optimize data pipelines for performance, scalability, and reliability in distributed environments. Collaborate with data scientists to ensure seamless integration of ML models into data workflows. Monitor and troubleshoot pipelines to maintain data quality and model accuracy over time. Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). 3 years of experience as a Data Engineer with a focus on machine learning and predictive analytics. Proficiency in building real-time and batch pipelines using Spark or Python for ML-driven applications. Experience integrating machine learning models into data pipelines for production use. Strong understanding of distributed data processing and ML workflow integration. Preferred Qualifications
Familiarity with cloud-based ML platforms like AWS SageMaker or Azure ML for pipeline integration. Exposure to advanced Spark features like MLlib for building predictive analytics models. Knowledge of orchestration tools like Airflow for managing complex ML pipelines. Compensation & Benefits
Competitive salary and comprehensive benefits package (healthcare, PTO, 401k). Opportunities for professional growth and upskilling in AI and cloud technologies.
R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, Predictive Analytics, Machine Learning, Spark, Python, Real-Time, Batch Pipeline

Compétences idéales

  • Python
  • Spark
  • AWS Sagemaker
  • United States

Expérience professionnelle

  • Data Engineer
  • Machine Learning

Compétences linguistiques

  • English
Avis aux utilisateurs

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