Lead Machine Learning Engineer

Kforce has a client seeking a Lead 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

• 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

• 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

• 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

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

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

• 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

• Customer 360 or customer data platform experience
• Identity Graph experience
• Experience within hospitality, gaming, entertainment, retail, loyalty, or consumer-facing digital organizations

• Snowflake
• MLOps practices and platforms
• Generative AI solutions
• Agentic AI architectures
• LLM-powered applications
• Real-time recommendation platforms
• Experience supporting enterprise AI transformation initiatives