Senior Analyst, Software Engineering

## Senior Analyst, Software EngineeringBenton Harbor,Michigan,USA## **This role in summary**The engineer will combine software engineering fundamentals with advanced machine learning techniques to build complex technical solutions for home appliances. The position requires execution across the machine learning lifecycle, from problem statement development, through data sourcing and cleaning, model training and compression, deployment, and field monitoring.## **Your responsibilities will include*** Design and implement scalable ETL and data preprocessing pipelines to handle large volumes of time-series, image, and sensor data from a range of sources* Ensure data quality, integrity, and availability for model training and validation* Develop strategies for data augmentation, normalization, and feature engineering* Train, fine-tune, and rigorously evaluate a wide range of deep learning models* Define and track key performance metrics (e.g. accuracy, MAE, F1) and relevant business-level KPIs* Adopt version control for data, code, and models to maintain reproducibility and traceability of experimental results* Clearly and effectively communicate technical details and limitations, experimental results, and strategic recommendations to a diverse audience, including marketing stakeholders, partnering engineers, and senior leaders* Collaborate with cross-functional teams, including hardware, firmware, and cloud services, to ensure successful model integration and deployment## **Minimum requirements*** Bachelor's degree in computer science, engineering, statistics, physics, or a related technical field* 5+ years software development experience (Python, Java, C++, etc), including contributions to large codebases* Proficiency with one or more deep learning frameworks, such as TensorFlow, PyTorch, or JAX* Strong understanding of machine learning principles, algorithms, and best practices* Experience with cloud computing platforms (e.g., AWS, GCP, Azure)## **Preferred skills and experiences*** Master's or greater in computer science, machine learning, artificial intelligence, data science, or a related field* Proven experience building and maintaining scalable MLOps pipelines.* Experience working with IoT device data or embedded systems* Familiarity with containerization and orchestration technologies like Docker and Kubernetes.oral traits in this section.Years of experience2-44-88+* Less than 2 years* 2 - 4 years* 4 - 8 years* 8+ yearsTop skillsAssembly LanguageArchitectureAlgorithmsAndroidAutomationAgileC++Data Privacy AgreementYou acknowledge you have reviewed our . We will automatically create a candidate profile for you using information in your CV. We may supplement your profile from publicly available business networks, like LinkedIn.

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