Our client is looking for a highly motivated Machine Learning Engineer to join our team to work
on a cutting-edge AI-based camera system that allows farmers to remotely monitor and check
their crops.
You will work closely with our team of experienced developers and data scientists to
establish infrastructure within our clients’ cloud platforms for computer vision inferencing. You
will also be responsible for implementing Yolov5 computer vision models into our clients’ AWS
and Azure cloud platforms for image inferencing, confirming that the computer vision platform
within our clients’ AWS and Azure cloud platforms is performing optimally and establishing
notification protocols within our clients’ AWS and Azure cloud platforms for the end-user.
The ideal candidate for this position should have a passion for technology, be comfortable
working in a fast-paced environment, and have a desire to learn and grow with a team that is
passionate about transforming agriculture with AI technology. The ideal candidate should also
have a strong background in machine learning, computer vision, and cloud computing.
Establish infrastructure within our clients’ AWS and Azure cloud platforms for computer vision inferencing.
Implement Yolov5 computer vision models into our clients’ AWS and Azure cloud platforms for image inferencing.
Confirm that computer vision platform within our clients’ AWS and Azure cloud platforms are performing optimally.
Establish notification protocols within our clients’ AWS and Azure cloud platforms for the end-user.
Must have a portfolio of work to share
Knowledge of machine learning, computer vision, and cloud computing.
Experience working with AWS and Azure cloud platforms.
Strong problem-solving skills and attention to detail.
Excellent communication and interpersonal skills.
Pursuing or recently completed a degree in computer science, electrical engineering, or a related field.
Able to code in Python, Ruby and Node JS
Remote
6-month hourly contract $30-$40/hr
Potential for Equity + Stock Options
Our clients’ award-winning technology has hundreds of interested buyers on the waitlist.
They’re working with several universities and Fortune 500 companies to bring this technology
to market.
If you are interested in coming in the ground floor to work on technology that can advance the
agriculture industry, please reach out to us at [email protected]