Company Description

The Bosch Group is a leading global supplier of technology and services. It employs roughly 429,000 associates worldwide (as of December 31, 2023). The company generated sales revenue of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. Universal trends such as automation, electrification, digitalization, and connectivity, as well as an orientation to sustainability, are increasingly determining the group’s business operations. In this context, Bosch’s broad footprint as a global and diversified technology company strengthens its innovativeness and robustness.

Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture intelligent, user-friendly, and sustainable products.

With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral overall (scopes 1 and 2) since 2020. As part of this, residual emissions of 581,000 metric tons of CO2 were offset with carbon credits in 2023. Year on year, this is a decrease of roughly 136,000 metric tons of CO2, or 19 percent.

The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 90,000 associates in research and development, of which nearly 48,000 are software engineers.

Job Description

Job Description – Senior Software Expert (AI Architect)

Architect scalable AI frameworks, ensuring seamless integration into enterprise systems.Oversee the development and deployment of AI solutions, with a focus on optimizing performance, scalability, and operational efficiency.Lead the design and execution of proofs of concept (PoCs) and pilot implementations to validate AI applications.

Productization & Deployment

Manage the transition of AI models from development to production, ensuring reliability, retraining cycles, and operational excellence.Implement best practices for infrastructure, including containerized deployments (e.g., Kubernetes, Docker), microservices and serverless architectures.

Tooling & Technology Expertise

Work with advanced tools, including vector databases, cloud-native AI platforms (AWS, Azure, GCP), and retrieval-augmented generation (RAG) architectures for enterprise LLM workflows.Stay ahead of emerging trends to ensure the adoption of the most effective tools and frameworks.Collaboration & Stakeholder EngagementCollaborate with data scientists, engineers, and business stakeholders to align AI strategies with organizational objectives.Translate business needs into technical specifications and scalable architectures.

Monitoring & Optimization

Oversee model performance monitoring and establish evaluation frameworks to identify areas for improvement.Ensure AI solutions align with compliance, security, and ethical standards.

Qualifications8+ years of experience in AI/ML solution design and architecture.Hands-on experience with Python, SQL, and frameworks like TensorFlow, PyTorch, and Hugging Face.Proven expertise in cloud platforms (AWS, Azure, GCP) and MLOps practices.Demonstrated ability to scale AI models into production environments.Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.Strong problem-solving and analytical skills with a focus on business impact.Excellent communication and collaboration abilities.In-depth knowledge of AI/GenAI deployment techniques and advanced architectures.

Additional Information

We offer competitive remuneration package including performance bonus, 15-day annual leave, life and accident insurance coverage, generous medical and dental coverage, staff purchase privileges in addition to a 5-day work week to the right candidate.

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