Machine Learning Developer
Machine Learning Developer
14/02/2021Who we are:
Founded in 2013, Fieldin is a global brand backed by top tier investors. Serving growers in three continents across hundreds of thousands of acres. As a market leader in its segment, FieldIn is growing 3X year over year.
Fieldin provides a groundbreaking IOT platform and service for the commercial agriculture industry. Fieldin has created a unique data driven product that impacts the operational performance of its partners. With smart sensors we help farmers/growers manage their entire operation remotely and gain actionable insights on how to improve operational efficiency and decrease loss of yield.
Learn more online at https://www.fieldin.com/
What you will be doing:
● Understand and identify opportunities for using ML given the data Fieldin collects and it’s business objectives.
● Collect and prepare the data for ML training. Format and shape the data to be suit the learning needs.
● Develop production ready code based on ML algorithms.
● Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
● Verifying data quality, and/or ensuring it via data cleaning and/or monitor, supervise and shape the data collection process.
● Defining the preprocessing or feature engineering to be done on a given dataset
● Defining data augmentation pipelines
● Analyzing the errors of the model and designing strategies to overcome them
Desired experience and skills:
● At least 3 years of experience
● Proficiency with a deep learning framework such as TensorFlow or Keras
● Familiarity and experience with image processing and classification - an advantage.
● Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
● Expertise in visualizing and manipulating big datasets
● Familiarity with Linux
● Extensive data modeling and data architecture skills
● Programming experience in Python, R or Java
● Experience working in an Agile environment
● Excellent project and time management skills
● BSc/MSc in Computer Science or equivalent
● Good written and spoken English
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