We are conducting a confidential search for a machine learning engineer to join an international, agile team focused on delivering data-driven solutions to industrial challenges.
in this role, you will work with large-scale data — including sensor, telemetry, and manufacturing data — to support and improve decision-making across key operational areas. You will manage the lifecycle of machine learning models and contribute to the design and maintenance of data architecture at a plant level, collaborating closely with global data teams and local stakeholders.
key responsibilities
• monitor and evaluate machine learning models in production environments
• optimize models and ensure continuous improvement
• conduct data exploration and monitor data quality
• facilitate communication between global teams and plant operations
required skills
• solid knowledge of ml models and mlops practices
• proficiency in python (oop, tdd), sql, git, and data visualization
• experience with libraries such as pandas, numpy, scikit-learn, statsmodels
• familiarity with ci/cd and containerization (docker)
• strong communication and collaboration abilities
preferred qualifications
• experience with deep learning, apache spark, aws services, and kubernetes
• previous work in agile environments and full ml lifecycle projects
education & experience
• master's degree in computer science, engineering, mathematics, or related field
• phd is a plus
• minimum 4 years of professional experience in python or similar languages
if you meet the profile and are looking for a role with real impact and international collaboration, we encourage you to apply.