This role contributes to HSC's ongoing work and long-term success by supporting teams, processes and priorities that keep operations running effectively.
SummaryThis individual will design and implement advanced analytical models to extract insights from static images and video within the manufacturing environment. This role focuses on object measurement, classification, anomaly detection, and leveraging these insights to build predictive and recommendation algorithms that deliver measurable business value. The developer will also articulate benefits to stakeholders, ensuring adoption and prioritization of operationalization.
Essential Functions- Visual Inspect & Quality Control: Develop, train, and refine deep learning models for automated perception tasks in the manufacturing environment, such as object detection, classification, measurement, and anomaly identification.
- Edge Deployment & Factory Integration: Optimize and deploy trained models onto edge devices (e.g. NVIDIA Jetson, industrial PCs, PLCs, smart cameras) in the manufacturing environment, in collaboration with control system team.
- Cloud & Server Integration for Real-Time Analysis: Leverage cloud infrastructure (e.g. Azure Foundry, DevOps, GitHub, Fabric) as appropriate for model training, deployment, governance, and downstream data availability.
- Partner with manufacturing and process engineering teams to ensure models address real-world operational needs and drive the operationalization of developed models into production workflows and communicate value.
- Report and monitor model performance using BI tools (Spotfire / Power BI) and communicate actionable insights. Develop and implement optimization and maintenance plans for validation and retraining of models as appropriate.
Additional Responsibilities- Collaborate with Data & Analytics team members to drive excellence in data science model building, model management, and deployment.
- Work with procurement and external suppliers to leverage external expertise in key technologies or integration capabilities
- Support data science and enterprise reporting initiatives within the wider analytics ecosystem.
- Support Data & Analytics team initiatives around governance, data quality & management, and Community of Practice.
- Stay informed of new and planned improvements in data management, visualization, modeling, visual analysis, and integration technologies across the industry and communicate their potential value/impact to our analytics practice.
- Communicate business value to business users and leaders through identification of opportunities to explore and apply machine vision analytics in new ways.
Skills and BehaviorsData Collection and Analysis
Business Data Modeling
Data Control
Computer Skills
IT Data Management
Database Reporting
Education- BS, MS, or PhD in computer science, data science, engineering (with software focus), or closely related field (Master's or above preferred).
Required Work Experience- Curiosity and a willingness to explore (and fail)
- 3-5 years of experience in computer vision, image analytics, or related fields, with at least 2 years within a manufacturing context
- Proven track record of deploying models in production environments
- Working knowledge of Spotfire Analytics, Power BI or similar data visualization tool
- A high level of initiative and bias for action
Physical RequirementsSitting - Frequent (51-75%)
Standing - Frequent (51-75%)
Hand Movement - Frequent (51-75%)
Repetition - Frequent (51-75%)
Walking - Frequent (50-75%)
The range for this position is $90,055.00 - $123,825.90 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, variable bonus, life insurance coverage, disability benefits, and PTO.
Req No. 1458
