Technical Manager Applied AI/ML

Job Summary -

Technical Manager

time-series analysis, process curve modeling, tabular data mining, foundation models and GenAI

Roles & Responsibilities:

AI/ML Research and Development

• Lead the development of advanced machine learning models focused on time-series data analysis, anomaly detection, and forecasting.

• Design and implement models for process curve analysis and structured/tabular datasets with strong feature engineering.

• Drive innovation in deep learning applications including foundation models, multi-modal LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI frameworks.

• Build and refine end-to-end ML systems for production, with an emphasis on reproducibility, scalability, and performance.

From Prototype to Enterprise Delivery

• Manage the entire AI/ML development lifecycle from research experiments and PoCs to high-quality, enterprise-ready deployments.

• Align model outputs and insights with real-world use cases in industrial domains such as manufacturing, mobility, and automation.

• Translate technical capabilities into commercially valuable IP, solutions, and assets.

Technical Leadership and Team Management

• Lead a compact, high-impact team of machine learning engineers and data scientists.

• Foster a culture of engineering excellence, knowledge sharing, and continuous learning.

• Develop and own the technical roadmap, aligning team deliverables with Bosch s strategic priorities.

• Guide hiring, performance management, training, and team capability development.

Enterprise-Grade Engineering and Operations

• Architect and maintain robust CI/CD pipelines tailored for machine learning lifecycle management.

• Design and manage automated workflows for data ingestion, model training, evaluation, and monitoring.

• Ensure models meet performance, reliability, and explainability requirements in production environments.

• Promote reproducibility and strong documentation across workflows and pipelines.

Customer Engagement and Collaboration

• Act as the primary technical point of contact for customer engagements, gathering requirements, understanding challenges, and ensuring satisfaction.

• Manage project delivery across cross-functional, geographically distributed teams.

• Represent the AI/ML practice within Bosch s global research and business ecosystem.