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Computer Vision & Machine Learning Specialist (Applied AI in Agri-Domain)

Location

Hyderabad, Telangana, India

JobType

full-time

About the job

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About the role

Website: agronest.ai
Job details:
Company Description

AgroNest Ventures Private Limited is a pioneering agri-tech company committed to transforming agriculture through innovative and sustainable solutions. Our mission focuses on empowering farmers, enhancing productivity, and promoting eco-friendly practices to build a resilient and greener agricultural ecosystem. By combining cutting-edge technology, expertise, and passion, we aim to tackle the challenges of modern agriculture while driving food security and environmental sustainability. Based in Hyderabad, AgroNest is dedicated to creating a global impact by fostering collaboration and innovation across the agricultural value chain.

Role Description

This is a full-time hybrid role located in Hyderabad, with flexibility for partial remote work. As a Computer Vision & Machine Learning Specialist focusing on Applied AI in the agricultural domain, you will design, develop, and deploy AI models to solve key agricultural challenges. Your responsibilities will include analyzing data, building computer vision and machine learning pipelines, training and optimizing algorithms, and collaborating closely with a multidisciplinary team of experts to create impactful solutions. You will also document your findings, stay updated with cutting-edge developments in the field, and contribute to evolving precision agriculture technologies.

Qualifications

  • Proficiency in Programming languages such as Python, C++, or MATLAB with experience in their application in AI and machine learning projects.
  • Strong knowledge and practical expertise in Machine Learning, including deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision techniques.
  • Experience in applied research or Teaching, with a focus on problem-solving and knowledge-sharing in scientific or technical settings.
  • Familiarity with agricultural systems and technologies is advantageous.
  • A master’s or Ph.D. in Computer Science, Data Science, AI, or a related field, or equivalent practical experience is preferred.
  • Strong analytical, problem-solving, and collaboration skills.
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Skills

Python
C++
computer vision
data science
deep learning
machine learning
MATLAB
TensorFlow
Pytorch