3-5 years as a Machine Learning Engineer or similar role
Strong experience with Deep Learning
Solid understanding of data structures, modeling, and software architecture
Deep knowledge of math, probability, statistics, and algorithms
Proficiency in Python, Java, and R programming
Familiarity with ML frameworks, e.g., Keras, PyTorch, and libraries like scikit-learn
Excellent communication skills for effective teamwork and problem-solving
BSc in Computer Science, Mathematics, or related field; Master's preferred
Responsibilities
Study and transform data science prototypes into functioning models
Design effective machine learning systems tailored to client needs
Research and implement suitable machine learning algorithms and tools
Develop specific ML applications based on outlined requirements
Select and curate datasets and data representation methods for machine learning
Conduct machine learning tests and run various experiments
Perform statistical analysis and fine-tune models based on test outcomes
Train and retrain existing systems to ensure continued performance
Extend existing machine learning libraries and frameworks as necessary
Stay updated on advancements and trends in machine learning
Benefits
Safe and inclusive workplace environment
Opportunities for professional growth and development
Encouragement of diverse identities and backgrounds
Focus on employee happiness and success
Fostering of individual recognition and appreciation
Full 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.
About iUNU
iUNU is a technology company that provides software solutions for the agriculture industry. The company's software helps farmers manage their crops more efficiently by using artificial intelligence and computer vision. iUNU's software is designed to help farmers reduce waste, increase yields, and improve the quality of their crops. The company's software is used by farmers in a variety of industries, including cannabis, vegetables, and fruits. iUNU was founded in 2013 and is headquartered in Seattle, Washington.
