Manufacturing ML Data Engineer – Impact & Equity

Oden Technologies; Chicago (IL); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity compensation

Benefits package

Job summary

Oden Technologies invites a talented ML Data Engineer to join our Manufacturing AI platform. You will research, develop, and implement data pipelines and ML systems enabling real-time quality, cost and yield predictions, with production-ready solutions for our operations teams.

You will work with real-time sensor data, external context, and outcomes, building models that learn from high‑dimensional timeseries and adapt to changing conditions.

Qualifications

• 3–5 years of ML/Data Engineer experience with production pipelines.
• Proficiency with Apache Beam/Dataflow and Apache Spark.
• Experience with MLFlow and Vertex AI or SageMaker.
• Strong Python skills and ML/Optimization libraries; SQL a plus.
• Experience designing and deploying end-to-end ML products.
• Based in the NY metro area and willing to visit the office monthly.

Responsibilities

• Develop and maintain ML lifecycle systems from data prep to deployment and monitoring.
• Collaborate with data scientists to deploy ML/AI models and methods.
• Enable predictions, optimization, monitoring and alerting across applications.
• Work with engineering, product and customer success to deploy solutions.
• Validate results in real-world deployments with customers.
• Generalize solutions and drive next-gen product features.
• Engage with the technical community to share results and stay updated.

Skills

Python

ML & Data Engineer

SQL

End-to-end ownership

Communication

Education

MS/PhD in ML/DS/CS

Tools

Apache Beam/Dataflow

Apache Spark

MLFlow

Vertex AI

SageMaker

GCP

Job description

Oden Technologies invites a talented ML Data Engineer to join our Manufacturing AI platform. You will research, develop, and implement data pipelines and ML systems enabling real-time quality, cost and yield predictions, with production-ready solutions for our operations teams.

You will work with real-time sensor data, external context, and outcomes, building models that learn from high‑dimensional timeseries and adapt to changing conditions.