IoT Data & ML Engineer for Predictive Maintenance

Camlin Group; Parma; On-site; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Daily food vouchers

Training Support

Discounted Gym Membership

Wellness Programs

Internal Reward & Recognition Tool Kud

Job summary

Camlin Group in Parma, Italy seeks a Data & ML Engineer to turn industrial data into valuable product capabilities. You will collaborate with engineers, product teams and domain experts to apply data engineering, ML, and statistical modeling to real-world problems.

You will build data pipelines, evaluate models, and deliver reliable, maintainable solutions that can be integrated into our products, with a pragmatic, ownership-driven mindset.

Qualifications

• Experience with Python, SQL, and data analysis.
• Strong modeling and ML experience.
• Ability to work with data pipelines and production-ready code.

Responsibilities

• Translate product and engineering challenges into data-driven solutions.
• Analyze complex datasets to identify patterns and opportunities for improvement.
• Develop and evaluate statistical models and ML approaches for asset monitoring, predictive maintenance, forecasting, and optimization.
• Build and improve data pipelines, transformations, and supporting tooling for reliable data-driven capabilities.
• Turn analytical findings and modeling approaches into practical, maintainable implementations that can be integrated into our products.
• Evaluate performance, investigate issues, and continuously improve solutions based on data and real-world results.
• Make sound technical decisions balancing effectiveness, complexity, maintainability, and effort.
• Communicate findings and trade-offs clearly across teams.

Skills

Python

SQL

Data analysis

Statistical modeling

Machine learning

Data pipelines

Git

Testing

Documentation

Tools

Git

Jupyter

Pandas

NumPy

Scikit-learn

SQL

Job description

Camlin Group in Parma, Italy seeks a Data & ML Engineer to turn industrial data into valuable product capabilities. You will collaborate with engineers, product teams and domain experts to apply data engineering, ML, and statistical modeling to real-world problems.

You will build data pipelines, evaluate models, and deliver reliable, maintainable solutions that can be integrated into our products, with a pragmatic, ownership-driven mindset.