Lead Machine Learning Engineer
$100 per hourTemporary
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
Vacancy posted 14 days ago
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