AI/ML Engineer

We're transforming manufacturing with the power of Artificial Intelligence by building intelligent solutions that optimize operations, improve quality, and enable data-driven decision making.

As an AI/ML Engineer, you'll design, develop, and deploy machine learning solutions that solve real-world manufacturing challenges. You'll work with production, quality, and operational data to build predictive models that improve efficiency, reliability, and business outcomes.

This is an exciting opportunity to apply modern machine learning technologies in large-scale industrial environments while helping shape the future of intelligent manufacturing.

Your Mission

• Design, build, and optimize machine learning and deep learning models for real business use cases.
• Develop predictive AI solutions for manufacturing challenges such as quality prediction, anomaly detection, forecasting, and process optimization.
• Prepare and engineer features from structured, time-series, and industrial datasets in collaboration with Data Engineers.
• Deploy, monitor, and continuously improve machine learning models throughout their lifecycle using modern MLOps practices.
• Integrate ML solutions into enterprise applications and manufacturing systems together with software engineering teams.
• Evaluate model performance, monitor data quality and drift, and continuously improve prediction accuracy and reliability.
• Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions that create measurable business value.
• Stay up to date with advancements in machine learning and AI technologies, contributing new ideas and best practices to the team

Required

• Experience developing software and machine learning solutions using Python.
• Strong understanding of machine learning algorithms and model evaluation techniques.
• Experience with machine learning frameworks such as Scikit-learn, PyTorch, or TensorFlow.
• Experience working with SQL and structured datasets.
• Familiarity with model deployment, monitoring, and MLOps concepts.
• Experience with Git, Docker, and modern software development practices.
• Strong analytical thinking, problem-solving skills, and a collaborative mindset

Nice to Have

Experience with one or more of the following:

• Apache Spark
• Azure Databricks
• MLflow
• Kubernetes
• Time-series forecasting
• Computer Vision
• CI/CD Model Deployment

Why Join Us?

• Impact at Scale – Your models will be deployed across a global manufacturing environment, directly influencing operations.
• Advanced Tech Playground – Work hands-on with high-performance computing, massive datasets, and real-world AI deployments.
• Global Collaboration – Join an international team of experts, exchanging knowledge across plants, regions, and industries.
• Career Growth – Accelerate your development with challenging projects, mentorship, and opportunities to specialize in cutting-edge AI domains.
• Innovation-Driven Culture – Be part of an agile environment that values experimentation, learning, and creativity over rigid processes.
• Future-Proof Projects – Contribute to building sustainable, data-driven factories of the future.
• Shape the Future of Manufacturing – play a direct role in redefining how factories operate, using AI to power the next generation of smart, sustainable production.

About Bosch Cluj Plant
For over a decade, the Bosch Cluj Plant has become a strategic hub for innovation and production, making a significant impact on the technological landscape in Romania. Through our constant commitment to excellence in quality and innovation, we develop a diverse range of modern products for the mobility industry, focusing on delivering cutting-edge solutions to our international customers. Inspired by passion for technology, we have consistently evolved, solidifying our position as the most desired employer in Cluj for the engineering and business candidates. We pay special attention to the development of our community, inspiring future generations and governing our impact on the environment.

Our promise to our colleagues is rock-solid: we grow together,we enjoy our work, and inspire each other. Join us and see the difference. Work LikeABosch

Application Process

After you followed all the required steps on our platform, you will receive an e-mail for GDPR compliance.

Only those applicants who give their agreement will receive a feedback from us.

Any other questions? Feel free to e-mail me on medeea-maria.comsea@ro.bosch.com and I will come with an answer shortly.