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Senior software engineer - applied ai (m/f/d)

Neustadt
Emerson
Software Engineer
Inserat online seit: 18 April
Beschreibung

Description We are looking for a hands-on Senior Applied AI Software Engineer in the team who is working at the intersection between AI Software Engineering, Data Science and Measurement Applications. This role focuses on applying modern AI and data-driven methods to real-world measurement and test workflows. You will work closely with engineers and customers to transform measurement data into intelligent capabilities — ranging from AI-assisted analysis and anomaly detection to LLM-powered engineering workflows. In This Role, Your Responsibilities Will Be: Work closely with measurement engineers, data scientists, and customers to solve domain-specific problems. Translate AI, ML, and agentic workflows into concrete measurement use cases (e.g., AI-assisted interpretation of complex measurement data, test optimization, & automation). Validate technical feasibility and customer impact through rapid prototyping. Influence platform and architecture decisions through hands-on contribution. Set best practices for applied AI quality, reliability, and maintainability. Who You Are: You thrive on challenges and bring a proactive, “can-do” attitude to every project, consistently taking ownership to drive results. You’re excited to explore and experiment with new AI capabilities, embracing emerging technologies with curiosity and a willingness to try them in practice. For This Role, You Will Need: Master’s degree in computer science, electrical engineering, AI, or related field Hands-on experience in Test & Measurement workflows and measurement application development Practical experience AI integration, for example prompt/context design, RAG, evaluation, and agentic patterns Strong software engineering fundamentals (APIs, testing, architecture) Excellent communication skills with the ability to influence technical direction. Preferred Qualifications That Set You Apart: Expertise in Python libraries for ML & data, e.g. Pandas, NumPy, Scikit-Learn, PyTorch. Experience in AI deployment & lifecycle (i.e. model deployment, monitoring, evaluation, lifecycle management, etc.) Experience in test & measurement or engineering domains beyond software Our Culture & Commitment to You: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive.

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