At IUNU (“you knew”), we’re revolutionizing the agriculture industry through AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to develop products for our clients and the greenhouse industry.
Responsibilities include creating machine learning models and retraining systems. Study and transform data science prototypes; design machine learning systems; research and implement appropriate ML algorithms and tools; develop machine learning applications according to requirements; 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; and keep abreast of developments in the field.
Requirements: 3–5 years of experience as a Machine Learning Engineer or similar role; strong Deep Learning experience; understanding of data structures, data modeling and software architecture; deep knowledge of math, probability, statistics and algorithms; ability to write robust code in Python, Java and R; familiarity with machine learning frameworks such as Keras or PyTorch and libraries such as scikit-learn; excellent communication and teamwork skills; strong analytical and problem-solving skills; and a bachelor’s degree in Computer Science, Mathematics or a similar field (Master’s degree a plus).
