Data Engineer

Responsibilities

• Develop AI solutions and provide strategic support for AI initiatives.
• Design, integrate, and maintain scalable data pipeline architectures to meet business needs.
• Manage large, complex datasets and architect data structures for optimal ETL processes using SQL and big data technologies.
• Identify opportunities for process automation, infrastructure redesign, and performance optimization.
• Build analytics tools to provide actionable insights on operational efficiency and business metrics.
• Collaborate with cross-functional teams including Product, Data, and Design to solve technical challenges.
• Ensure data security, privacy, and integrity through strict access controls and governance standards.
• Maintain and operate Data Warehouse and Data Lake structures.

Requirements

• Degree in Computer Science or AI Engineering.
• Proficiency in Python (essential).
• Experience with R, Java, or C++.
• Knowledge of Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Cloud experience with AWS, Azure, or GCP.
• Familiarity with containerization and orchestration using Docker and Kubernetes.
• Understanding of MLOps practices, including CI/CD for models and model versioning (e.g., MLflow, DVC).

Preferred Qualifications

• Specialized knowledge in NLP or Computer Vision.
• Expertise in optimization algorithms and model quality control.
• Knowledge of AI ethics and governance.
• Relevant certifications such as AWS Certified Machine Learning, Google Professional Machine Learning Engineer, or Microsoft Azure AI Engineer Associate.

About the Company

Bosch is a global technology leader dedicated to improving quality of life through innovation in mobility, consumer goods, industrial technology, and energy. With a culture based on solid values and a commitment to diversity, we empower our associates to develop their full potential in a high-quality professional environment.