Applied ai Engineer H/F Socotec

As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and deploying AI models that enhance our chatbot program and other AI-driven solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to integrate advanced AI technologies that address real-world challenges within our industry. You will focus on building scalable, efficient, and accurate machine learning pipelines while staying at the forefront of the latest AI advancements.

- Developing AI Models: Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems.
- Collaborating with Cross-Functional Teams: Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions.
- Building and Maintaining AI Pipelines: Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance.
- Optimizing Model Performance: Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization.
- Implementing Best Practices in AI/ML Development: Ensure the reliability and quality of AI models by following best practices for training, testing, and model evaluation.
- Integrating AI Solutions: Work closely with backend engineers to integrate AI models into production environments using tools like LangChain and cloud services.
- Staying Updated with AI/ML Trends: Keep up with the latest developments in AI, machine learning, and natural language processing, applying new techniques to improve our technology stack.
- Documentation: Provide detailed documentation of AI workflows, models, and algorithms to facilitate collaboration and ensure long-term maintainability.
- Perform all duties as assigned by your manager