AI/ML Expert (m/f/d) // Object and Condition Detection // Rail Infrastructure

Project overview

Only partners with permanent employees are sought. Due to internal guidelines for the use of external specialists, only resources that are in direct employment with the service provider or its subcontractors can be offered. Freelancers and one-person companies (e.g., 1-person GmbH, UG, GbR) are excluded from this request.

Description

We are looking for an AI/ML expert (m/f/d) for a strategic AI project in the rail infrastructure environment on short notice. The focus is on the professional and technical evaluation of AI-supported object and condition detection based on video and multi-sensor data. Practical AI/ML expertise is sought for evaluating model quality, supporting acceptance, and assessing productivity.

Project Basic Information

Responsibilities

• Professional and technical evaluation of AI/ML models for object and condition detection.
• Assessment of model quality, data quality, error patterns, and risks.
• Definition of suitable quality metrics, acceptance criteria, and acceptance procedures.
• Planning and support of end-to-end acceptances for the AI solution.
• Evaluation of the AI system's productivity.
• Traceable documentation of model quality, test results, and decision-making bases.
• Coordination with the business department, IT, data management, compliance, and, if applicable, operations.
• Consultation on the further development of the AI solution and its secure release.

Requirements

Desirable

Are you interested?

Then I need the following information or documents, please:

If there is a high degree of suitability, I will get back to you promptly.

• At least approximately five years of practical experience in the AI/ML environment.
• Demonstrable project experience in the development, evaluation, or validation of AI/ML models.
• Very good understanding of model quality, quality metrics, error rates, data quality, and model limitations.
• Experience with Computer Vision.
• Experience in the structured evaluation and acceptance of AI systems.
• Ability to explain AI technical issues understandably to the business department, IT, and compliance.
• Ability to credibly present one's own concrete project experience in professional discussions.
• Experience with SAFe and Azure
• Experience with object or condition detection using video, image, or sensor data.
• Experience in regulated, safety-critical, or KRITIS-related environments.
• Knowledge in AI Assurance, Safety, Risk Management, or AI Governance.
• Experience with MLOps, monitoring, operation of AI models, or quality indicators in production.
• Experience in the rail, infrastructure, or mobility sector.
• Knowledge of regulatory requirements for AI systems.
• current profile,
• availability with possible start date and desired weekly utilization,
• daily rate remote and daily rate on-site,
• brief description of two to three particularly relevant AI/ML projects with role, period, own tasks, and experience in model evaluation, computer vision, or acceptance of AI systems,
• optionally, a brief assessment of professional fit in two to five sentences.

Project details

Short notice

Utilization: at least 50%

Remote and on-site in Frankfurt am Main

Project Context

The AI solution is intended to recognize objects and conditions of the railway infrastructure using video and multi-sensor data. For evaluation and acceptance, the performance of the models, as well as data quality, error patterns, and risks, must be considered. The role works at the interface between the business department, IT, data management, compliance, and, if applicable, operations.

• Start: ab sofort
• Remote: remote
• Location: Frankfurt, Deutschland, DE
• Languages: German