Applied Machine Learning Engineer (AI)

TL;DR

Applied Machine Learning Engineer (AI): Developing AI-driven solutions for greenhouse operations with an accent on creating machine learning models and retraining systems. Focus on designing ML systems, implementing appropriate algorithms, and building efficient self-learning applications.

Company

hirify.global is revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations.

What you will do

• Study and transform data science prototypes into production-ready systems.
• Design and develop machine learning applications and systems according to specific requirements.
• Research, implement, and extend ML algorithms, libraries, and frameworks.
• Select appropriate datasets and define optimal data representation methods.
• Perform statistical analysis, run experiments, and fine-tune systems based on test results.
• Train and retrain systems to ensure operational efficiency and model accuracy.

Requirements

• 3-5 years of proven experience as a Machine Learning Engineer or in a similar role.
• Strong expertise in Deep Learning and familiarity with frameworks such as Keras, PyTorch, and scikit-learn.
• Deep knowledge of mathematics, probability, statistics, and algorithms.
• Ability to write robust code in Python, Java, and R.
• Solid understanding of data structures, data modeling, and software architecture.
• BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus.

Culture & Benefits

• Safe and inclusive work environment committed to employee happiness and success.
• Workplace culture that recognizes, appreciates, and respects individual differences.
• Encouraging atmosphere for people of all identities and backgrounds.