AI/ML Engineer at Bosch Group

, , Romania -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Python, MLOps, Data Pipelines, Big Data, Spark, Databricks, LLMs, Generative AI, ERP Integration, MES Integration, IoT Integration, Performance Optimization, Problem Solving, Software Engineering

Industry

Software Development

Description

Company Description 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 Job Description We’re working to reshape the way manufacturing runs by putting advanced AI solutions into practice — improving productivity, optimizing the way work gets done, and driving efficiency at scale. As an AI/ML Engineer, you’ll be at the core of turning ideas into production-ready solutions. You’ll design, train, and deploy models that deliver real impact — from predictive analytics and intelligent automation to adaptive systems that evolve with operations. This isn’t just about algorithms. You’ll own the full machine learning lifecycle, ensuring models are robust, scalable, and seamlessly integrated into enterprise environments. Your Mission Build Intelligent Models – design, train, and fine-tune ML and deep learning models that address real-world manufacturing challenges. Engineer Data Pipelines – develop reliable pipelines for ingesting, cleaning, and transforming data, leveraging Spark, Databricks, or equivalent platforms. Operationalize AI – implement MLOps practices (CI/CD for ML, versioning, monitoring, retraining) to ensure solutions are production-grade and sustainable. Experiment with Cutting-Edge AI – apply LLMs, RAG, vector databases, and generative AI techniques to create adaptive solutions that scale. Integrate with Enterprise Systems – deploy models into ERP, MES, and IoT contexts, ensuring seamless data and workflow integration. Optimize for Performance – monitor, benchmark, and continuously improve models to achieve high accuracy, reliability, and efficiency in production. Collaborate & Share Knowledge – work closely with data engineers, architects, and domain experts to co-create solutions and bridge technical and business needs. Champion Responsible AI – ensure models are developed and deployed with fairness, transparency, and compliance. Qualifications Solid experience as an ML Engineer, Data Scientist, or similar, with proven track record of building production-ready ML solutions. Strong skills in Python and ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn). Experience with big data platforms and distributed computing (Spark, Databricks, Hadoop, or similar). Knowledge of MLOps workflows — MLflow, Kubernetes, containerization, GitHub Actions, or similar CI/CD pipelines. Hands-on exposure to LLMs, RAG architectures, and vector databases — with curiosity to explore new agentic AI approaches. Familiarity with integrating models into enterprise systems (ERP, MES, IoT) is a strong plus. Ability to take solutions from prototype to production, including performance tuning, monitoring, and lifecycle management. Familiarity with software engineering best practices (testing, code reviews, CI/CD for ML code). Strong problem-solving mindset, with ability to translate business needs into data-driven solutions. Curiosity, adaptability, and eagerness to learn and apply the latest in AI/ML research and technology. 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. Additional Information 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 [email protected] and I will come with an answer shortly.

Responsibilities

As an AI/ML Engineer, you will design, train, and deploy models that improve productivity and drive efficiency in manufacturing. You will own the full machine learning lifecycle, ensuring models are robust and integrated into enterprise environments.