Tech Lead AI Feature Development for Cloud Based Industrial AI Applications (fmdiv.)

As the Tech Lead for AI Feature Development you will be a pivotal leader in our organization. Your primary mission is to guide a team of talented data scientists to deliver cutting-edge production-grade AI features for our industrial applications. We are looking for a leader who excels at translating high-level vision into concrete action driving projects from conception to completion.

Your role will be central to our success combining deep technical expertise with outstanding leadership and strategic planning. You will be instrumental in mentoring your team managing stakeholder relationships and ensuring the timely delivery of high-performing integrated AI features.

Core Responsibilities

• Lead Plan and Deliver: You will own the technical execution for the AI team. This includes translating high-level user stories into clearly defined technical work packages creating robust delivery plans in close cooperation with the SW Engineering Team and your own team and ensuring timely high-quality delivery.
• Mentor and Coach: You will provide strong technical guidance and mentorship coaching team members to foster their growth and elevate the teams capabilities in machine learning and data science best practices.
• Define Technical Strategy: You will define the technical strategy and architecture for our production-grade time-series ML systems focusing on AI algorithm research feature pipeline innovation and the path from research to production.
• Drive Engineering Excellence: You will establish and enforce high standards for ML development through design reviews architecture proposals and code reviews championing the creation of reusable libraries and reference implementations.
• Manage Stakeholders: You will work closely with product owners the SW Engineering team and business stakeholders to align the technical direction manage expectations and communicate progress and risks effectively.

Qualifications :

• Education: An advanced degree (Masters or PhD) in a quantitative discipline such as Computer Science Engineering Applied Mathematics or Statistics is highly preferred. A Bachelors degree with extensive relevant experience will be considered.
• Leadership Experience: Proven experience in a technical leadership capacity with a strong track record of leading and mentoring AI/data science teams and successfully delivering complex projects.
• Time-Series Expertise: Deep expertise in developing ML solutions for time-series sensor or industrial IoT data including hands-on experience with at least two of the following: anomaly detection classification concept drift detection or explainable AI.
• ML Tooling: Strong practical experience with classical ML and deep learning frameworks (e.g. scikit-learn PyTorch TensorFlow XGBoost LightGBM).
• Production ML Experience: Demonstrated experience with the end-to-end MLOps lifecycle including designing and delivering production ML workflows on cloud platforms (Azure ML/Databricks AWS or GCP).
• Software Engineering Acumen: Strong programming skills in Python and a proven ability to build maintainable testable production-quality ML software including experience with modern CI/CD and testing tools.

Additional Information :

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 5

Need further information about the job
Lucas Gomes (Functional Department)
49

Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time