Senior Data scientist in SeeTree

Overview

SeeTree is a leading company in the Ag-tech industry, providing per tree intelligence platform to growers to track their trees’ health and productivity.

Using rich sources of information such as drones, satellites, IOT sensors, weather information and more, we can scan and analyze hundreds of millions of trees and provide deep information on each and every one of them!

Our mission is to boost growers and industry ROI by digitally transforming agronomy, operation and decision making.

Responsibilities:

• Design and development As a senior figure, you’re expected to spearhead the creation of innovative computer vision and machine learning algorithms. our work will focus on areas such as real-time perception challenges on edge devices, and cloud infrastructor.
• Implement AI Solutions: You’re responsible for bridging the gap between theoretical models and practical applications. This involves coding in Python to implement algorithms based on both classical computer vision techniques and modern deep learning approaches. writing clear and efficient code for smooth productization.
• Collaboration Across Teams: Extend beyond your immediate team, the position requires collaboration with multidisciplinary engineering teams to turn advanced technologies into viable products or solutions. This means working closely with software engineers, product managers, UX/UI designers, and other stakeholders.
• Mentorship: Supporting and guiding team members in their research and development tasks will be a key part of your role.

• Problem-Solving Skills: Be a go-to person to escalate the most complex online / production performance and evaluation issues that require in-depth knowledge.

Key Skills and Qualifications:

• Minimum of 4 years experience in a similar role in the industry with Deep understanding of current technologies and research trends in computer vision and machine learning, including familiarity with deep neural networks, GANs, and other advanced modeling techniques.
• Experience in optimizing and deploying ML/DL.
• Experience with PyTorch and/or TensorFlow
• High proficiency with Python and familiarity with standard REST API development practices.
• Ability to clearly analyze computer vision challenges and to collaborate with a team of experts to create cutting-edge solutions in classic computer vision and machine learning/deep learning.
• High proficiency in SQL, NoSQL.
• Experience in a cloud environment (GCP / AWS / Azure).
• M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative fields from a leading university. Ph.D. — Advantage
• Research experience — an advantage.
• English- upper intermediate and higher.