Sr. Software EngineerRole: Client Lead Engineer Location: Cincinnati, OHTechnical Skills and ExpertiseMachine Learning Proficiency: Strong understanding of machine learning algorithms and principles, especially those relevant to anomaly detection, such as supervised and unsupervised learning, clustering, and neural networks.Data Handling: Expertise in managing, processing, and analyzing large datasets. Familiarity with data cleaning, data transformation, and feature engineering is crucial.Programming Skills: Proficiency in programming languages commonly used in machine learning such as Python.Model Development and Evaluation: Ability to develop robust Client models and evaluate their performance through metrics specific to anomaly detection.System Integration: Skills to integrate Client models into existing systems for seamless data flow and model deployment including Azure big data and analytics experience.Lead Experience: 2 – 3 years of experience leading development teamsProblem-Solving SkillsAnalytical Thinking: Ability to analyze complex data and identify patterns or inconsistencies that may indicate problems.Creative Problem Solving: Capacity to devise innovative solutions that improve detection and prediction of anomalies.Attention to Detail: Precision in model tuning and the interpretation of data to ensure high accuracy and reliability of outputs.Communication and CollaborationClear Communication: Ability to explain complex Client concepts and findings to non-technical stakeholders.Collaborative Spirit: Willingness to work closely with IT teams, data scientists, and other departments to ensure models align with broader business objectives.