Tech Lead for AI Feature Development in Cloud‑Based Industrial AI and Softw at Bosch Group

Renningen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

0.0

Posted On

12 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Feature Development, Cloud-Based AI, Time-Series Analysis, Tabular Data Analysis, Systems Engineering, Technical Leadership, Programming, Requirement Elicitation, Production-Grade AI, Stakeholder Communication, Software Engineering, Industrial AI

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application! Job Description We are looking for an AI Feature Development Tech Lead for our Applied AI & Software Business. Within our team, we are pursuing a new systems engineering approach by combining Bosch’s deep production knowledge with AI and software expertise to create unique industrial AI and software applications. As part of our team, you will drive the end‑to‑end lifecycle of AI feature requirements, including elicitation, analysis, prioritization, specification, validation, and ongoing management. Your focus will be on the technical steering of AI feature development for cloud‑based industrial AI and software applications, with a particular emphasis on time‑series and tabular data. You will ensure on‑time, specification‑compliant, and high‑quality delivery of AI features in line with best‑practice development standards. You will drive innovation through a continuous AI feature pipeline, leveraging the latest research and technological advancements. Furthermore, you will provide technical guidance to the AI development team and actively foster knowledge sharing and best practices within the team. You will collaborate in an international, interdisciplinary setting with experts across AI, software engineering, business, and domain domains. Last but not least, you are able to clearly communicate complex technical content to customers, technical and business stakeholders, as well as management. Qualifications Education: an advanced degree in Computer Science or a related technical field Experience and Knowledge: proven experience in delivering production‑grade AI features for cloud‑based industrial AI and software applications, with a strong focus on time‑series and tabular data profound knowledge of the research and technology landscape of AI for time series and tabular data, combined with excellent programming skills strong experience in building and leading AI development teams proven track record in driving innovation in the context of AI feature development and inspiring teams to contribute experience with cloud-based AI and software applications for manufacturing is a plus Personality and Working Practice: You bring extensive experience working in international, interdisciplinary teams and demonstrate strong communication skills Languages: fluent English skills written and spoken, German is a plus Additional Information https://www.bosch-ai.com www.bosch.com/research Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account). We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need support during your application? Kathrin Stipak (Human Resources) +49 711 811 38015 Need further information about the job? Lucas Gomes (Functional Department) +49 173 649 6270 Work #LikeABosch starts here: Apply now! Legal Entity: Robert Bosch GmbH

Responsibilities

Lead the end-to-end lifecycle of AI feature requirements for cloud-based industrial applications, focusing on time-series and tabular data. Provide technical steering and guidance to the AI development team while collaborating with international, interdisciplinary stakeholders.