AI Vision Machine Learning Engineer

Hemlock Semiconductor Group; Michigan; Sur place; USD 90 000 - 124 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Disability benefits

PTO

Résumé du poste

Hemlock Semiconductor Group in Michigan is seeking an AI Vision Machine Learning Engineer to design and implement advanced analytical models for static images and video within our manufacturing environment. You will develop models for object detection, measurement, and anomaly identification to deliver measurable business value.

You will deploy models to edge devices and integrate with cloud and factory systems, collaborate with process engineering, and report performance using BI tools such as

Qualifications

• BS/MS/PhD in computer science, data science, or engineering (master’s preferred).
• 3–5 years in computer vision, image analytics, or related fields in manufacturing.
• Proven production deployment of ML models; strong BI tooling experience.

Responsabilités

• Develop, train and refine DL models for object detection, classification and measurement.
• Deploy models to edge devices (Jetson, PLCs, cameras) and integrate with factory systems.
• Leverage cloud infra (Azure) for training, governance and data availability.
• Report model performance with BI tools; support production readiness and retraining.

Connaissances

Computer vision

OpenCV

TensorFlow

PyTorch

Python

C++/C#

Edge deployment

BI tools

Manufacturing domain

Storytelling / communication

Formation

BS, MS, or PhD in computer science / data science / engineering

Outils

NVIDIA Jetson

Industrial PCs

PLCs

Smart cameras

GitHub / DevOps

Azure Foundry

Description du poste

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Hemlock Semiconductor (HSC) is a leading global provider of hyper pure polysilicon, an essential material used in the semiconductor and solar industries. From smartphones in your pocket to satellites in orbit, our materials play a foundational role in modern technology.

At HSC, employees do work that matters. Team members are part of a safety focused organization that values teamwork, excellence, responsibility and customer focus. Rooted in Michigan for more than 65 years, HSC continues to evolve through innovation, operational discipline and a strong commitment to its people and communities.

This role contributes to HSC’s ongoing work and long-term success by supporting teams, processes and priorities that keep operations running effectively.

Summary

The AI Vision Machine Learning Engineer 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

• 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 - $123,825.90assuming 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
[e-mail]