The Offer :
Develop and deploy image processing & machine learning solutions that will impact life sciences & agriculture industries
Excellent career development opportunities
Great work environment
The Employer :
Our client designs intelligent agriculture solutions. Driven by their passion for digital horticulture, they use computer machine vision, deep learning neural networks and IoT-connected devices to create solutions for sustainable food supply for the increasing global population.
They provide a working environment that is creative and collaborative to allow their employees to further their skills and interests in fields they are in and might be interested in.
Your responsibilities include :
Researching, designing, implementing, and deploying full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems.
Staying up-to-date with the state-of-the-art in computer vision and deep learning, including edge computing.
Developing and implementing state-of-the-art computer vision algorithms for object detection, classification, segmentation, etc.
for both live video and static images.
Translating business requirements into quick prototypes and work with the R&D, Sales and Marketing teams directly to uncover operational objectives and advance data collection.
The Profile :
You have a Ph.D. or M.S. in computer science, machine learning, physics, engineering, or related fields.
You have at leat 4 years experience in a Data Scientist role or similar field.
Having working experience in a product development company focused on Agriculture or Life Sciences is a plus.
You have a strong foundation in computer science, algorithms, data structures, machine learning, and statistics.
Depth and breadth in state-of-the-art computer vision, deep learning, and machine learning technologies.
You are proficient in Tensorflow, Keras, or other deep learning frameworks.
You possess proficiency in C / C++, Python and associated packages, and image pre-processing methods.
You have experience working with small & large datasets for deep learning applications.
Being proficient in AWS or Azure cloud computing environments as well as edge computing principals and architecture is a big plus.
Having exposure to IoT-based applications and Agile Application Development & Scrum methodologies is an added advantage.
You have excellent written and verbal communication skills and ability to communicate effectively to both technical and nontechnical audiences.
You have technical fluency - you are comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members.