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 Bachelors 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.

No. of Openings:

1

Rate of Pay:

Location of Employment:

Kulicke and Soffa Industries Inc.

1005 Virginia Drive Fort Washington PA 19034

Hours:

40

Contact:

Ariel McGrath Senior Advisor HR