Ml Lead Engineer

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Client Lead Engineer

Location: Cincinnati, OH (Onsite)

FTE

Technical Skills And Expertise

Machine 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 teams

Problem-Solving Skills

A nalytical 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 Collaboration
Clear 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.

ML Lead Engineer
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