AI Engineer

About the Company

Plant level knowledge is vital to satisfying the food production needs from projected a forty percent increase in world population over the next thirty years. We support that goal by continuously and automatically assessing the health and performance of the worlds $1T specialty crops one plant at a time with deep learning and imaging. Currently Bloomfield is focused on wine table and juice grapes as well as more recently blueberries. Our portable Flash cameras and supporting platform capture geo-locate and share the condition of each vine tree and bush along with the various features of that plant. This information in turn informs a variety of decisions and actions that growers take every day to increase the size quality and consistency of yields and doing so without increasing the resources used to produce those yields.

About the Role

Our rapidly growing engineering team is in search of an AI Engineerto lead the design and development of deep learning models on large amounts of high resolution image data as well as analytical modeling solutions at scale on a cloud platform.

As an AI Engineer you will work at start-up speed and can plan and develop roadmaps adapting along the way to dynamic conditions. You should have a detail-oriented engineering and algorithmic mindset and enjoy building instrumenting testing and documenting large systems. You will have broad responsibilities build a team as we grow and be a part of the senior team. This is a full-time exempt position that reports to the Head of Product.

Responsibilities

• Deep model development : develop new image processing models that include feature detection and instance segmentation.
• Develop and track model performance metrics across a variety of applications and data sets.
• Integrate model development and deployment into cloud-based automated data processing pipeline.
• Develop processes and algorithms for effective model retraining as necessary. You should have.
• Data labeling : develop image labeling strategies for new model training and validation including processes for on-going Q&A of deployed models. Evaluate labeling tools including compatibility with AI training and validation systems.
• Train and deploy models using Pytorch MLFlow Sagemaker in AWS.

Requirements

Bonus Points

What We Offer

In addition to the opportunity to apply and develop your skills toward key business objectives we offer an excellent compensation package including :

Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race color religion sex national origin sexual orientation disability gender identity protected veteran status or other protected classes.

In compliance with federal law all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Required Experience :

Manager

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full-Time

Department / Functional Area : Engineering

Experience : years

Vacancy : 1