Lead Systems Architect

Lead Systems Architect

CASS NV,LLC

Oakland, CA Job Details Full-time From $160,000 a year 5 days ago Benefits Dental insurance 401(k) Paid time off Qualifications Data engineering Bachelor of Computer Science Data Integration (Data management) Internet of Things PyTorch Computer vision Software deployment Supply chain ERP systems System design Engineering process optimization Scalable systems SQL Data Architecture Design (Architecture design skills) Solution architecture design Machine learning XGBoost Model deployment Forecasting Data analytics Scalability Quality standards in production Predictive analytics Root cause analysis Machine learning libraries Real-time data processing implementation Senior level Machine learning frameworks Data engineering experience (6-10 years) Sensors Python Database software proficiency

Full Job Description Lead Systems Architect:

Machine Learning & Operational Intelligence The Mission CASS Inc. is a growth-oriented vertical manufacturer dedicated to the circular economy. We specialize in transforming end-of-life materials into high-performance aluminum alloys. Our objective is to lead the industry through a culture of excellence , where sophisticated technical innovation meets a deep-rooted commitment to sustainable industrial practices. We are seeking a Lead Systems Architect to build and own our data-to-intelligence pipeline. This is a "ground-up" opportunity for a specialist who understands that true Machine Learning (ML) success begins with rigorous Data Analysis and ends with practical, real-world operational impact.

The Role:

Foundation, Analysis, & Innovation You will be the primary architect of our digital evolution. We believe that the most significant innovations occur when high-level data science is applied to complex physical processes. Your goal is to move beyond static reporting and develop a dynamic, predictive environment. Key Responsibilities Establish the

Data Foundation:

Build and own a centralized data layer that integrates disparate streams—from legacy ERP systems to real-time IoT sensors on the foundry floor.

Deep Data Analysis:

Perform high-level diagnostic and exploratory analysis to identify hidden inefficiencies in our production cycles, energy consumption, and material yields.

Deploy Applied Machine Learning:

Design and implement production-grade ML models focused on:

Process Optimization:

Enhancing furnace efficiency and reducing resource intensity.

Predictive Forecasting:

Building models to navigate commodity market volatility and supply chain logistics.

Quality Engineering:

Using computer vision or sensor data to ensure uncompromising quality standards. Drive a

Culture of Innovation:

Act as a technical bridge, collaborating with operations teams to translate complex industrial challenges into elegant, scalable software solutions.

The Ideal Candidate The Technical Core:

Mastery of Python and SQL . Deep experience with the modern ML stack (e.g., Scikit-learn, PyTorch, or XGBoost) and the data engineering required to support it (ETL/ELT).

The Analytical Mind:

You don't just "run models"—you interrogate data. You have a proven ability to find the "signal" in noisy, unstructured industrial datasets.

Builder Mentality:

You are energized by "Greenfield" projects. You are comfortable choosing the right tools and setting the standard for how code is written and deployed.

Integrity & Excellence:

You hold your work to the highest standards, ensuring that our technical systems are as robust and reliable as the alloys we produce.

Our Culture & Sustainable Impact Data-Driven Stewardship:

We use innovation to minimize our environmental footprint, proving that industrial growth and sustainable practices are mutually inclusive. Commitment to

Community:

We are a responsible member of the local communities where we operate. Your work in optimizing our efficiency directly contributes to the well-being and environmental health of our neighbors.

Continuous Evolution:

We foster an environment that rewards curiosity and rewards those who look for a "better way" to solve age-old industrial problems.

Pay:

From $160,000.00 per year

Benefits:

401(k) Dental insurance Paid time off Application Question(s): Tell me about something you built from the ground up and what would you do differently now? How do you balance model complexity with real-world reliability on the floor? Describe an ML model you deployed into production. What changed after deployment? If furnace efficiency dropped 8% over two weeks, how would you investigate the root cause? Walk me through how you would design a centralized data layer for a manufacturing environment with ERP data, sensor data, and manual logs. Where do you start? As part of our standard hiring process, all candidates complete a background check and onsite hair follicle drug screening. Are you able to meet this requirement? This is a fully onsite role. Are you able to work onsite as required? Ability to

Commute:

Oakland, CA 94607 (Required) Ability to

Relocate:

Oakland, CA 94607: Relocate before starting work (Required)

Work Location:

In person