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Predictive Analytics Machine Learning Software Jobs

Vector Resources, Inc

$110K - $150K/yr

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML ... predictive analytics for asset monitoring and lifecycle management. Software Development and ...

CAREERS | vector

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML ... predictive analytics for asset monitoring and lifecycle management. Software Development and ...

NYULMC

Predictive Analytics Analyst

Manhattan, NY · On-site

Keep up to date with new academic and industry developments in data analytics, machine learning ... Hands-on experience building predictive models (e.g., linear and logistic regression, GLM, decision ...

NYULMC

Predictive Analytics Analyst

New York, NY · On-site

Keep up to date with new academic and industry developments in data analytics, machine learning ... Hands-on experience building predictive models (e.g., linear and logistic regression, GLM, decision ...

MeridianLink

Predictive Analytics Consultant

$69.80K - $110.30K/yr

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for ... specific machine learning, optimization and statistical models. * Work on various types of ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity ...

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Predictive Analytics Machine Learning Software information

What are the key skills and qualifications needed to thrive as a Predictive Analytics Machine Learning Software Engineer, and why are they important?

To thrive in predictive analytics and machine learning software roles, you need a strong background in statistics, programming (often Python or R), and machine learning concepts, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, and cloud platforms (e.g., AWS, Azure) as well as certifications in data science or ML are highly valued. Problem-solving, analytical thinking, and effective communication skills help professionals interpret data and collaborate across teams. These skills and tools are crucial for building accurate models, deriving actionable insights, and driving business value from data.

What are some common challenges faced by professionals working in predictive analytics machine learning software roles?

Professionals in predictive analytics machine learning software roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting appropriate algorithms for specific business problems. Additionally, they must effectively communicate technical findings to non-technical stakeholders and work collaboratively with cross-functional teams, including data engineers and business analysts. Staying updated with evolving technologies and best practices is also crucial for long-term success in this fast-paced field.

What is predictive analytics machine learning software?

Predictive analytics machine learning software refers to specialized tools and platforms that use statistical algorithms and machine learning techniques to analyze historical data and make predictions about future outcomes. These software solutions help organizations identify patterns, trends, and relationships within their data, allowing them to make data-driven decisions and forecasts. They are commonly used in fields such as finance, healthcare, marketing, and supply chain management to optimize processes and improve business performance.
ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125

ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111.80K - $134.20K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago

Job description

Overview:
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

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