# Data & ML Engineer
About Camlin
Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.
At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide.
About the role
At Camlin, we develop technologies that help customers improve operational performance through asset monitoring, asset optimization, and predictive maintenance.
As a Data & ML Engineer, you'll help turn complex industrial data and domain knowledge into valuable product capabilities. Working closely with engineers, product teams, and domain experts, you'll combine data engineering, statistical modeling, machine learning, and practical implementation to solve real-world problems.
You'll have the opportunity to explore challenges, identify promising approaches, and turn them into effective, reliable solutions. We're looking for someone who combines analytical thinking with an engineering mindset, takes a pragmatic approach to problem-solving, and focuses on creating tangible value for our customers.
Responsibilities
•Translate product and engineering challenges into practical, data-driven solutions in collaboration with relevant stakeholders.
•Explore and analyze complex datasets to identify patterns, anomalies, and opportunities for improvement.
•Develop and evaluate statistical models and machine learning approaches for applications such as asset monitoring, predictive maintenance, forecasting, and optimization.
•Build and improve data pipelines, transformations, and supporting tooling to enable 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, technical evidence, and real-world results.
•Make sound technical decisions, balancing effectiveness, complexity, maintainability, and implementation effort.
•Communicate findings and technical trade-offs clearly, working across engineering, product, and domain teams.
What you'll need
•Strong Python programming skills and proficiency in SQL.
•Practical experience with data analysis, statistical modeling, and machine learning.
•Knowledge of relevant techniques such as classification, regression, anomaly detection, forecasting, or optimization.
•Experience working with complex datasets and developing data-driven solutions.
•Solid engineering fundamentals, including Git, testing, documentation, and maintainable code.
•Understanding of data pipelines, data quality, model evaluation, and validation.
•A pragmatic, results-oriented mindset, with the ability to take ownership of problems from initial investigation through implementation.
•Strong problem-solving, communication, and collaboration skills.
What will help you stand out
•Experience with industrial, IoT, sensor, or time-series data.
•Familiarity with predictive maintenance, asset monitoring, or industrial optimization.
•Experience integrating and maintaining data-driven capabilities in production environments.
•Experience working with domain experts to translate complex operational problems into practical technical solutions.
Benefits
•Daily food vouchers: for days worked in person on the premises.
•Training Support: financial assistance for your training and development, based on company discretion. Also includes an internal training platform to support your professional and personal development.
•Discounted Gym Membership: discounted gym membership program.
•Wellness Programs: wellness initiatives prioritizing employee well-being.
•Internal Reward & Recognition Tool Kudos: streamlines and automates the process of acknowledging and appreciating employees, contributing to a positive workplace culture.
Our Values
•We work together
•We believe in people
•We won't accept the 'way it has always been done'
•We listen to learn
•We're trying to do the right thing
Location: Parma, Italy (Data Solutions)
