Machine Learning Engineer

Machine Learning Engineer

Requirements

• Proven experience as a Machine Learning Engineer or similar role.
• Deep knowledge of the latest trends in Generative AI — LLMs, libraries (e.g. LangChain), tools and techniques.
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Python and/or Java.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Excellent communication skills.
• Ability to collaborate with the non-AI-experts and come up with innovative domain-specific applications.
• Outstanding analytical and problem-solving skills.
• BS in Computer Science, Mathematics or similar field; Master’s degree is a plus.

Responsibilities

• Design machine learning systems.
• Research and implement appropriate ML algorithms, applications and tools.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks, if necessary.
• Keep abreast of latest developments in the field.

Preferred Qualifications

• Master’s degree is a plus.