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
Strong proficiency in computer vision techniques (OpenCV, TensorFlow, PyTorch).
Knowledge of Machine Vision systems and related hardware (cameras, optics, lighting, IOT, networking, etc)
Expertise in image/video processing, including but not limited to feature extraction, classification, edge finding, and morphology.
Solid understanding of predictive modeling techniques and model governance.
Programming skills in Python, C++/C#, or similar and familiarity with visual analytics libraries and code and task management (GitHub, DevOps).
Ability to build user-friendly interfaces utilizing storytelling techniques.
Ability to communicate technical concepts in business terms and influence decision-making.
Excellent problem-solving and analytical thinking, with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams
Preferred Skills
Advanced Power BI, Spotfire, or similar BI tool development and dashboarding experience is preferred
Experience with a wide array of camera, lighting, IOT integration, and edge computing solutions.
Experience with manufacturing or industrial environmental requirements affecting hardware selection
Familiarity with SCADA systems, with strong preference for Ignition.
Experience in industrial metrology, product quality, and/or chemical manufacturing
Familiarity with business reporting and common business KPIs
Statistical modeling and advanced analysis techniques
Builds collaborative relationships
Ability to influence through Storytelling
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
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.
HSC is an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, marital status, pregnancy, sexual orientation, ancestry, genetic information, or any other characteristic protected by law.
If you are an individual with a disability and you need an accommodation or other assistance during the application process, please call our Human Resources department at:
- 989.301.5333
- or email your request to
- G1HSC-HR@hscpoly.com
- All qualified applicants are encouraged to apply.
Req No. 1468
Nearest Major Market: Saginaw
Apply now »
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