Senior Data Scientist, Software Engineering

Position Title:

Senior Data Scientist, Software Engineering

Position Duties/

Requirements

• Research, design, and implement advanced machine learning (ML) solutions,
• including image classification, time series and waveform-based models, for
• semiconductor manufacturing and related applications; Develop and optimize
• embedded software components that integrate ML algorithms into proprietary
• hardware systems, ensuring real-time performance and reliability; Architect and
• implement end-to-end MLOps pipelines, including data ingestion, preprocessing,
• model training, deployment, monitoring, and lifecycle management, leveraging
• cloud platforms and container orchestration technologies; Integrate labeling
• systems into the MLOps lifecycle (e.g., human-in-the-loop labeling, active
• learning, dataset curation tools) and design, implement, and operate reliable
• data stores for MLOps, including object storage, time-series databases, feature
• stores, and metadata registries, with robust data lineage, provenance tracking,
• governance, access control, and auditability; Build and maintain data pipelines
• for large-scale data processing, feature engineering, and model development,
• ensuring robustness and scalability across distributed environments; Design and
• develop web-based applications and services to deliver data visualization,
• configuration, and operational control of ML-driven solutions, integrating with
• backend servers and cloud infrastructure; Create and maintain automated
• processes and algorithms for data cleansing, anomaly detection, and
• interpretation of complex signals from manufacturing hardware; Collaborate with
• cross-functional teams to translate business and engineering requirements into
• actionable AIdriven solutions, including defining experiments, validation plans,
• and performance metrics; Develop software modules and visualization tools for
• interpreting machine and process signals, enabling actionable insights for R&D
• and production optimization; Implement CI/CD workflows for ML applications,
• ensuring seamless integration, version control, and automated deployment across
• environments; and Communicate technical findings and analytics insights to
• stakeholders, provide technical leadership and guidance to cross-functional
• teams, and serve as an internal expert on ML, MLOps, and software integration.
• In order to perform the above-mentioned tasks, the following skills and
• experience are required: Experience designing and implementing ML-based
• solutions, including both image classification models and waveform-based ML
• models; Experience with Python for data science and ML development; Experience
• with embedded software programming with C++ and OOP, web application
• development, and databases; Experience integrating ML components into production
• environments, optimize performance, and ensure scalability across distributed
• systems; Experience with data preprocessing, feature engineering, and workflow
• automation for ML models; Experience with containerization (e.g., Docker,
• Podman) and orchestration tools (e.g., Kubernetes); Experience designing and
• implementing full-stack AI solutions, from embedded systems to cloud-based
• services, ensuring robust security and compliance; and Experience with Git,
• CI/CD pipelines, and automated deployment strategies for ML applications.
• Requires a Bachelor’s degree or foreign equivalent in Data Science, Computer
• Science or a closely related field, and at least two (2) years of experience in
• a Data Scientist, Software Engineer or related occupation. Option to work from
• home (hybrid) may be available. Please send C.V. to [email protected]
• [[email protected]].
• No. of Openings:
• 1
• Rate of Pay:
• $109,845 - $150,000/year
• Location of Employment:
• Kulicke and Soffa Industries, Inc.
• 1005 Virginia Drive, Fort Washington, PA 19034
• Hours:
• 40
• Contact:
• Ariel McGrath, Senior Advisor, HR, [email protected] [[email protected]]