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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Engineer - **Company:** Kforce Inc. - **Location:** Davie, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Applications, Customer Data Management, Information Engineering, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Snowflake, Model Validation, Generative AI, Scikit Learn, Information Technology, Machine Learning Operations, Virtual Agents, Data Pipelines, Databricks - **Published:** August 18, 2026 - **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5FUUd-MjE4NTUzNVQxfjk5/ ## About the Role * 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 Preferred Skills: * Customer 360 or customer data platform experience * Identity Graph experience * Experience within hospitality, gaming, entertainment, retail, loyalty, or consumer-facing digital organizations Experience with: * Snowflake * MLOps practices and platforms * Generative AI solutions * Agentic AI architectures * LLM-powered applications * Real-time recommendation platforms * Experience supporting enterprise AI transformation initiatives ## Description 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 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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