.Locais da Bosch Braga Áreas de trabalho Engenharia Junta-te enquanto Profissional Data de início Mediante acordo Horário de trabalho Tempo inteiro Entidade legal Bosch Car Multimedia Portugal Candidata-te agora Recommend Job Machine Learning Engineer / AI Specialist (f/m/div.) Vaga publicada 10/08/2025 ID da vaga REF J Declaração de privacidade de dados da Bosch Política de proteção de dados do SmartRecruiters Suas tarefas *Your Contribution To Something Big: * Research, design, and develop machine learning models (supervised, unsupervised, and reinforcement learning) and deep learning architectures to solve complex business problems.
Build end-to-end data pipelines, including data collection, preprocessing, and model deployment.
Implement mathematical and statistical techniques (e.G., linear regression, logistic regression, time series analysis, gradient-boosting) efficiently and accurately.
Keep up to date with the latest ML/DL research, frameworks, and tools, incorporating relevant advancements into existing workflows.
Collaborate with software engineers, data scientists, and product managers to integrate AI solutions into production environments.
Perform error analysis and refinements of models to ensure the highest possible performance and reliability.
Document processes, architectures, and best practices to maintain clarity and continuity across teams.
O teu perfil *What Distinguishes You: * Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field.
A Ph.D. is a plus.
Strong foundation in mathematical concepts including linear algebra, calculus, probability, and statistics.
Proven experience in building and deploying ML models (regression, classification, clustering, etc.) and deep learning architectures (CNNs, RNNs, transformers, etc.).
Proficiency in one or more programming languages commonly used in ML/DL (e.G., Python, R, C++); experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is highly desirable.
Solid understanding of software engineering best practices, including version control (Git), testing, continuous integration, and containerization (Docker, Kubernetes).
Familiarity with cloud platforms (AWS, GCP, Azure) for ML model deployment and data storage.
Strong problem-solving skills, with an ability to understand complex domains and produce innovative, high-impact solutions.
Excellent communication and collaboration skills to work effectively with both technical and non-technical stakeholders.
Contato e informações adicionais Work includes:Flexible work conditions Hybrid work system Exchange with colleagues around the world Health insurance and medical office on site (psychology and general clinic) Training opportunities (p.E