Applied Machine Learning Engineer at IUNU

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 an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry. Applied 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 Diversity At IUNU, we’re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.

Requirements

Must-haves

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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonjava

Platform: jazzhr
Effort: medium