Machine Learning Engineer

Job Description

At IUNU (“you knew’), we’re revolutionizing the agriculture industry through cutting-edge 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 a Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.

Responsibilities

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

Keep abreast of developments in the field

Requirements

3-5 years of proven experience as a Machine Learning Engineer or a similar role

Strong experience with Deep Learning

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 (like Keras or PyTorch) and libraries (like scikit-learn)

Excellent communication skills

Ability to work in a team

Outstanding analytical and problem-solving skills

BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus

Benefits:

Comprehensive benefits, including healthcare and generous paid leave

Opportunities for career growth within a fast-growing and innovative company

Competitive Paid Time Off (PTO) policy

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Full-time