Lead Machine Learning Engineer

Application ends: November 23, 2026
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Job Description

Description

Machine Learning Engineer in Fort Lauderdale, FL to lead the design, development, and deployment of enterprise-scale machine learning solutions that drive customer intelligence, personalization, recommendation engines, and next-generation AI experiences. Responsibilities: Machine Learning Development:

  • Design, develop, train, and deploy machine learning models and predictive analytics solutions
  • Build recommendation engines, customer segmentation models, churn prediction models, and customer value forecasting solutions
  • Develop reusable machine learning frameworks, standards, and best practices
  • Optimize model performance, scalability, and reliability

Customer Intelligence & Personalization:

  • Leverage customer data platforms and identity resolution capabilities to enhance model accuracy
  • Create personalized customer experiences and intelligent insights
  • Develop solutions that improve customer engagement, retention, and loyalty
  • Partner with business stakeholders to align machine learning initiatives with organizational objectives

AI & Advanced Analytics:

  • Support the development of AI-powered applications and intelligent assistants
  • Contribute to Generative AI, LLM, and agent-based AI initiatives
  • Evaluate emerging AI technologies and recommend opportunities for adoption
  • Collaborate with engineering teams to create innovative AI-enabled business solutions

Production ML & MLOps:

  • Partner with MLOps teams to operationalize machine learning models
  • Develop real-time inference and prediction services
  • Build model monitoring, validation, retraining, and governance processes
  • Ensure secure, scalable, and reliable production deployments

Technical Leadership:

  • Provide technical leadership across Machine Learning, Data Science, and Engineering teams
  • Mentor engineers and data scientists

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field required; Master’s degree or equivalent advanced experience preferred
  • 8+ years of Machine Learning Engineering, Data Science, or Applied AI experience
  • 3+ years in a Lead, Principal, or Senior Technical Leadership role
  • Experience delivering production-grade machine learning solutions at scale

Strong expertise with:

  • Python
  • Databricks
  • MLflow
  • TensorFlow, PyTorch, and/or Scikit-learn
  • Real-time inference architectures

Experience building:

  • Recommendation systems
  • Personalization engines
  • Predictive analytics solutions
  • Customer intelligence platforms
  • Strong understanding of feature engineering and ML lifecycle management
  • Experience partnering with Data Engineering teams to build ML-ready data pipelines and datasets

Are you interested in this position?
Apply by clicking on the ā€œApply Nowā€ button below!
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