AI Engineer

Job Overview

Design and implement AI and machine learning solutions to improve manufacturing and business processes. Work with cross‑functional teams to integrate AI into production systems and decision‑making. Support the full AI lifecycle from development to deployment and continuous improvement.

• Develop and deploy machine learning models and AI applications using frameworks such as Tensor Flow, Spark MLlib, and other AI tools to solve complex problems involving natural language processing, data mining, and unsupervised learning.
• Conduct model training, validation, and deployment ensuring robustness and accuracy across various AI applications.
• Utilize cloud services such as AWS for model deployment and scaling AI applications in production environments.
• Analyze large datasets to identify trends and optimization opportunities.
• Build and maintain data pipelines and AI systems.
• Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other programming languages.
• Define and track KPIs for AI solutions.
• Support budget tracking and ROI evaluation for AI projects.
• Develop dashboards and visualizations using Looker or similar tools to communicate insights effectively to stakeholders.
• Perform root cause analysis using AI techniques.
• Ensure data governance and compliance.
• Document models and provide training.
• Manage AI‑related projects and timelines.
• Stay current with advancements in machine learning frameworks, natural language processing techniques, big data technologies like Hadoop and Spark, and emerging trends in AI.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3–5 years of AI/ML or data engineering experience preferred.
• Manufacturing Or Automotive Experience Preferred.
• Machine learning frameworks (Tensor Flow, PyTorch).
• Programming in Python or similar.
• Cloud platforms experience (Azure, AWS).
• Data analysis and database knowledge.
• Proven experience in AI development with a strong understanding of machine learning algorithms including supervised and unsupervised learning methods.
• Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands‑on experience in model training and deployment.
• Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and database design principles.
• Knowledge of natural language processing techniques and applications in real‑world scenarios.
• Strong analytical and problem‑solving skills with the ability to interpret complex data sets effectively.

• EXCELLENT COMPENSATION & BENEFITS PLAN WITH 401k MATCHING
• Mitarbeiterhandy möglich
• Gesundheitsmaßnahmen
• Mitarbeiterrabatte möglich
• Mitarbeiter Events
• Parkplatz