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Machine Learning Engineer

  • Texas, Plano

  • 07/11/2025

  • Contract

  • Active

Job Description:

  • Job Summary
    We are seeking a highly skilled and motivated Machine Learning Engineer to join our growing ML/AI practice. 
    This role focuses on enhancing machine learning systems for recommendation and personalization applications. 
    The ideal candidate will have hands-on experience in model development, performance evaluation, and production deployment, and will collaborate with cross-functional teams to deliver impactful AI solutions.

    Key Responsibilities
    • Iterate on existing ML models to improve performance, efficiency, and feature integration.
    • Benchmark models and enhance blending strategies for multiple prediction sources.
    • Evaluate model performance using offline metrics and online experiment data.
    • Conduct subgroup analysis to identify areas for KPI improvement.
    • Enhance model explainability to support product and business decision-making.
    • Collaborate with data scientists, backend engineers, and other stakeholders.
    • Contribute to AI model development and deployment using tools like Databricks, MLflow, and Seldon.
    • Participate in code reviews and ensure adherence to coding standards.
    • Drive innovation by proposing new ideas and improvements to data infrastructure and processes.

    Required Qualifications
    • Minimum 3 years of experience in machine learning or data science teams (excluding research/R&D roles).
    • Minimum 5 years of experience programming in Python or Scala.
    • Minimum 5 years of experience with ML libraries and frameworks (e.g., TensorFlow, PySpark).
    • At least 1 year of experience with Databricks, MLflow, or Seldon.
    • Strong understanding of recommendation algorithms and machine learning principles.
    • Experience with cloud services (e.g., AWS) and software engineering best practices.
    • Excellent problem-solving and analytical skills.
    • Strong communication and collaboration abilities.

    Preferred Qualifications
    • Proven track record of delivering large-scale commercial ML products.
    • Experience with Snowflake, Kubeflow, Tecton, Jenkins.
    • Background in building customer-facing ML applications, especially recommendation systems.
    • Familiarity with custom ML platforms, feature stores, and model monitoring.
    • Knowledge of A/B testing, causal inference, and ML best practices.
    • Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related field.

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