onsite
Machine Learning Scientist - IPEX Management Inc.
ML Engineer
Develop, validate, and deploy advanced machine‑learning and statistical models for plastic piping systems, collaborating with cross‑functional teams to turn data into actionable insights using Python, deep‑learning frameworks, and cloud services.
About the role
Key Responsibilities
- Design, implement, and fine‑tune machine‑learning algorithms for predictive maintenance, demand forecasting, and process optimization.
- Validate model performance using rigorous statistical testing and cross‑validation techniques.
- Operationalize models in production environments, leveraging cloud platforms such as AWS for scalable deployment.
- Collaborate with data engineers, product managers, and domain experts to integrate data pipelines and ensure data quality.
- Document methodologies, results, and best practices, and present findings to technical and non‑technical stakeholders.
Requirements
- Advanced degree (M.S. or Ph.D.) in Computer Science, Electrical Engineering, Statistics, or a related field.
- 5+ years of hands‑on experience building and deploying machine‑learning models in an industrial or manufacturing context.
- Proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch, as well as traditional ML tools like Scikit‑learn.
- Strong background in statistical modeling, hypothesis testing, and data analysis.
- Experience with cloud services (AWS) for model training, serving, and monitoring.
Skills
pythontensorflowpytorchaws