Mid-level Machine Learning Engineer | ONSITE | DFW

Dallas, TX, US • Posted 28 days ago • Updated 9 hours ago
Full Time
On-site
$120000 - $160000/yr
Fitment

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Job Details

Skills

  • SAP BASIS
  • Collaboration
  • Streaming
  • Reporting
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • Version Control
  • Git
  • Training
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Data Processing
  • Pandas
  • NumPy
  • Apache Spark
  • Real-time
  • Machine Learning (ML)
  • Computer Science
  • Health Insurance

Summary

Applicants must be currently authorized to work in the United States on a full-time basis, now and in the future.

As a consulting firm, we are looking for a highly talented and flexible mid-level Machine Learning Engineer. In this role, you will be responsible for taking machine learning models from prototype to production, building scalable infrastructure, and ensuring the reliable deployment of ML-powered products for our clients.

You will work closely with data scientists, engineers, and consultants-including on real-time and stream-processing systems-to design and deliver production-grade Machine Learning (ML) solutions. You will also collaborate with client stakeholders to build robust, maintainable, and scalable systems that operate reliably in both batch and streaming environments.

Location
This position is hybrid, with in-office reporting four days per week in Dallas, TX.

Required Skills & Experience
  • Build and maintain CI/CD pipelines for ML workflows and deployments
  • Strong experience with version control systems (Git)
  • Develop APIs and services that integrate ML models into client products
  • Design and build scalable ML infrastructure to support training, deployment, and monitoring

Desired Skills & Experience
  • Experience with cloud platforms (AWS, Google Cloud Platform, or Azure)
  • Familiarity with data processing tools (e.g., Pandas, NumPy, Spark)
  • Exposure to large-scale or real-time ML systems
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Compensation
  • Annual performance-based bonus

Benefits
  • Medical insurance
  • Dental benefits
  • Vision benefits
  • Paid Time Off (PTO)
  • 401(k)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 864676
  • Posted 28 days ago
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