Machine Learning Engineer

DescriptionKforce has a client in Armonk, NY that is seeking a Lead Machine Learning Engineer to support a leading Energy and Utilities organization by designing and delivering scalable machine learning solutions that drive operational efficiency and business decision-making. This role will own the end-to-end machine learning architecture, lead the design of predictive models and recommendation engines, and guide models from prototype through production deployment.Responsibilities:* Design and own the overall machine learning system architecture and model lifecycle* Develop scalable predictive models and recommendation engines to support operational and resource planning initiatives* Lead technical design decisions and mentor small delivery teams throughout the development lifecycle* Translate business requirements into machine learning solutions and production-ready models* Partner with data engineers, data scientists, and business stakeholders to deliver high-impact analytics solutions* Deploy, monitor, and optimize machine learning models using Azure Machine Learning* Establish best practices for model governance, performance monitoring, and continuous improvement* Maintain CI/CD workflows, version control, and containerized deployments using GitHub and DockerRequirements* 8+ years of experience in Machine Learning Engineering, Data Engineering, or AI solution development* Proven experience designing enterprise-scale machine learning architectures and deploying production ML solutions* Strong Python development experience including pandas, scikit-learn, XGBoost/LightGBM, and PyTorch (preferred)* Advanced SQL skills with experience working in Snowflake* Hands-on experience with Azure Machine Learning, GitHub, and Docker* Strong understanding of MLOps, model deployment, monitoring, and lifecycle management* Experience leading technical teams and delivering enterprise analytics solutionsPreferred Qualifications:* Experience with optimization algorithms, operations research, or resource planning* Experience within the Energy and Utilities industry or another regulated environment* Familiarity with enterprise operational data platforms and utility data ecosystems* Strong communication skills with the ability to bridge business needs and technical solutionsJob TypeContractCompensation50 - $60