AI Engineer

Responsibilities

• Develop AI solutions and provide strategic support for AI implementation.
• Design, integrate, and maintain scalable data pipeline architectures to support 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, data 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 compliance with data governance and quality standards.
• Maintain and operate Data Warehouse and Data Lake structures.

Requirements

• Degree in Computer Science, AI Engineering, or a related field.
• Proficiency in Python (essential); experience with R, Java, or C++ is a plus.
• Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with Cloud platforms including AWS, Azure, or GCP.
• Proficiency with DevOps tools such as Docker and Kubernetes.
• Experience in MLOps, including CI/CD for models and versioning tools like MLflow or DVC.

Preferred Qualifications

• Specialized knowledge in NLP or Computer Vision.
• Expertise in optimization algorithms and model quality control/testing.
• Understanding of AI ethics and governance.
• Relevant professional certifications (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer, or Azure AI Engineer Associate).

About the Company

Bosch is a leading global technology company that creates innovative solutions to improve quality of life. From mobility electronics to industrial technology, we leverage our expertise to shape the future. We value cultural diversity and strive to provide a work-life balance that fosters creativity and productivity for our global team of associates.