Machine Learning Engineer (Full-Time) (f/m/d)

Tasks

• Design and implementation of RAG systems to ground AI responses in corporate data
• Evaluation and integration of AI models (e.g., LLMs) to ensure optimal performance and reliability
• Optimization of agent-based workflows and AI agents for production applications
• Testing and optimizing system prompts and few-shot examples to ensure accurate, consistent, and reliable AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation datasets, and techniques, as well as continuous iteration and improvement
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Requirements

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Bachelor's or master's degree in computer science, mathematics, statistics, or a related field
• Strong programming skills in Python, with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience with large language models (LLMs)
• A solid understanding of AI agents and agent-based workflows, LLM orchestration frameworks, and thought processes
• Experience with data preparation, feature engineering, and model selection and evaluation techniques
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Interest in business challenges across various fields
• Understanding of software development best practices, including version control, testing, and documentation
• Excellent problem-solving and debugging skills, with the ability to quickly and effectively identify and resolve issues
• Relevant professional experience in machine learning, data science, or a related field

We offer