5-7 years of relevant software engineering experience with a focus on machine learning
Strong grasp of machine learning algorithms, particularly for anomaly detection
Experience in managing large datasets with a focus on data cleaning and transformation
Proficiency in Python and other relevant programming languages
Hands-on experience in model development and performance evaluation
Skill in integrating machine learning models into existing systems, especially with Azure
Responsibilities
Develop and refine machine learning algorithms for anomaly detection
Process and analyze large datasets to ensure data validity and reliability
Program in Python and other languages to create and enhance software solutions
Evaluate and improve the performance of machine learning models
Integrate developed models with existing IT systems for streamlined operations
Lead and mentor a team of software engineers in best practices and technical skills
Benefits
Flexibility in work environment
Opportunities for professional development and training
Collaborative team culture
Access to advanced tools and technologies
Health and wellness programs
Full Job Description
Sr. Software Engineer MAHIN-JOB-33648 Role: Client Lead Engineer Location: Cincinnati, OH 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
Analytical 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.
