Descripción de la empresa
Bosch fue fundada en Stuttgart en 1886 por Robert Bosch (1861-1942), y por más de 130 años se ha distinguido por una cultura corporativa única, basada en valores sólidos que nos impulsan a mejorar cada día. Nuestros productos, presentes en una amplia variedad de terrenos, contribuyen a mejorar la calidad de vida de millones de personas.
Descripción del empleo
Design, develop, and deploy artificial intelligence and machine learning solutions to support
business processes and product innovation. Lead AI model lifecycle management including
data collection, model training, validation, deployment, and continuous improvement. Develop internal frameworks, guidelines, and best practices to ensure responsible and
effective use of AI technologies across the organization.
Requisitos
EDUCATION: Bachelor’s degree in Computer Science / Data Science / Artificial Intelligence /
Software Engineering.
SKILLS:
- Ability to work in a team-based environment and a commitment to continuous learning and
improvement.
- Requires 3+ years of experience in AI/ML development and deployment:
Python TensorFlow, PyTorch, Scikit-learn, Keras
MLOps & Cloud: MLflow, Kubeflow, Azure ML, AWS SageMaker
NLP & Computer Vision Hugging Face Transformers, OpenCV, YOLO,
spaCy
Data Engineering: Apache Spark, SQL, Pandas, dbt
- Requires 3+ years in experiment tracking and version control for AI:
Git & DVC Version control for code and datasets (GitHub, GitLab)
MLflow / Weights & Biases for experiment tracking and model registry
Docker & Kubernetes Containerization and orchestration for AI model
serving
- Deep knowledge about machine learning algorithms, model architectures, and AI system design.
- Knowledge in statistical modeling, data analysis, and hypothesis testing.
- Experience with large language models (LLMs), generative AI, and prompt engineering.
- Knowledge in the field of responsible AI, model explainability (XAI), and fairness frameworks.
- Ability to interpret and communicate AI model results to both technical and non-technical
audiences.
CeFQ.125 Position Guide - Job Description
Job Description
CeFQ.125 Rev 03 01/24/2024
Ref. CePQ063
- Knowledge in data governance, data lineage, and AI traceability systems (e.g., feature stores,
model registries).
- Proficiency in cloud platforms: Azure, AWS, or GCP for AI/ML workloads and deployment.
- Knowledge in API design, microservices architecture, and AI model integration with enterprise
systems.
- Deep knowledge in AI model evaluation metrics, A/B testing, and statistical performance analysis
Información adicional
Bosch amplía constantemente su presencia internacional, ya que para nosotros la diversidad cultural representa una de nuestras mayores fuerzas. Impulsamos continuamente el crecimiento de nuestros más de 13 mil asociados, quienes desarrollan todo su potencial en una de las empresas con más alta calidad en materia de tecnología. Valoramos el balance entre vida personal y laboral como una de las principales herramientas para mejorar la creatividad y productividad de nuestros asociados.
