Overview
Locais da Bosch
Braga
Área de trabalho: Engenharia
Junta-te enquanto Profissional
Data de início: Mediante acordo
Horário de trabalho: Tempo inteiro
Entidade legal: Bosch Car Multimedia Portugal
ID da vaga: REF267905J
Vaga publicada: 10/08/2025
Candidata-te agora
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Responsibilities
* 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.
Your Profile / Qualifications
* 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 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 (e.g., technical training, foreign languages training) & certifications
* 📈 Opportunities for career progression and continuous professional development
* 💲 Access to great discounts in partnerships and Bosch products
* 🏋️ Sports and health related activities
* 🚉 Great access to public transports
* 🚌 Free transport from Porto
* 💰 Flexible benefits platform
* 🅿️ Free parking lot
* 🍽️ Canteen
Sobre nós
Bem-vindo a Braga. Na Bosch Braga, concentramo-nos na mobilidade e no sector automóvel. Produzimos ecrãs e sensores que ajudam a conduzir de forma autónoma. Estamos também a desenvolver a próxima geração de airbags e travões. Somos a maior fábrica em Portugal, com 3 localizações diferentes em Braga, mais de 30 nacionalidades e cerca de 4000 pessoas. A Bosch valoriza a diversidade e equidade de oportunidades.
Observações
Este anúncio pode incluir links de vídeo e conteúdos de divulgação. A Bosch liga-se à diversidade e inclui pessoas com deficiência, oferecendo adaptações quando necessário durante o processo de recrutamento.
Próximos passos
Se a vaga for do teu interesse, candidata-te online. Podes fazer upload do teu CV, candidatar-te via LinkedIn/Indeed, ou inserir dados manualmente. Poderás anexar cartas de apresentação e outros documentos até 10 MB. Receberás confirmação de candidatura por email e informações sobre o status.
Observação final
Próximos passos podem incluir entrevista (virtual ou presencial) e eventual apresentação de exemplos de trabalhos. O planejamento de integração inclui um plano personalizado conforme a posição e localização.
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