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Machine Learning Engineer Devi Technologies

Job in Town of Texas, Marathon County, Wisconsin, USA
Listing for: Devitechs
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
  • ✔️ Build large-scale machine learning solutions for classification, regression, clustering, and recommendation tasks.
  • ✔️ Develop automated training pipelines, feature stores, and data transformations.
  • ✔️ Implement ML systems capable of handling high-volume real-time data.
  • ✔️ Create reusable libraries and frameworks for ML model development.
  • ✔️ Perform model training, validation, and performance tuning using cloud GPU/TPU resources.
  • ✔️ Collaborate with Data Scientists to transform prototypes into production systems.
  • ✔️ Deploy ML models through REST APIs, streaming services, or serverless functions.
  • ✔️ Implement monitoring tools to track model health, latency, and production failures.
  • ✔️ Build robust data validation, testing, and quality control checks.
  • ✔️ Maintain and optimize ML infrastructure for scalability and cost efficiency.
  • ✔️ Use version control and experiment tracking tools like MLflow or Weights & Biases.
  • ✔️ Incorporate responsible AI frameworks for fairness, transparency, and explainability.
  • ✔️ Collaborate with business teams to integrate ML predictions into workflows.
  • ✔️ Optimize models for edge devices, mobile platforms, or low-latency environments.
  • ✔️ Troubleshoot production ML issues and perform root-cause analysis.
  • ✔️ Benchmark model performance using industry-standard datasets and metrics.
  • ✔️ Explore and implement deep learning, transformers, and generative AI solutions.
  • ✔️ Document ML architectures, workflows, and project implementation details.
  • ✔️ Participate in code reviews and mentoring of junior engineers.
  • ✔️ Drive innovation by proposing new ML methodologies and tools.
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