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Associate Machine Learning Engineer

ANNAM.AI / IIT Roopar Center of Excellence in AI for Agriculture

Remote, IND

Full Time, Contract

Mid

Remote

Discovered 3 weeks ago

PythonPyTorchTensorFlowscikit-learnJupyterGit

Free

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PythonPyTorchTensorFlow

Location: ANNAM.AI, Center of Excellence in AI for Agriculture, IIT Ropar Type: Full-Time | Contractual | Renewable based on performance Compensation: As per industry standards Tenure: Initial appointment for 2 years, extendable up to 5 years depending on the project.
Role Summary:
We are seeking enthusiastic and skilled Machine Learning Engineers to join our team. In this role, you will work on developing and deploying AI/ML models that power intelligent agricultural systems. You will contribute directly to solving real-world agricultural challenges using data-driven methods and play a key role in applying technology for social impact.

Design, develop, and implement machine learning models for various agricultural applications (e.g., crop classification, yield prediction, disease detection, advisory generation).
Work with large datasets from diverse sources such as satellite imagery, drone footage, and sensor data.
Build and maintain robust data pipelines for model training and inference.
Collaborate closely with agronomists, software engineers, and researchers to address field-level challenges using ML solutions
Optimize model performance and ensure scalability for real-world deployment.
Develop robust pipelines to pre-train, fine-tune and align, and evaluate LLMs and other Foundation models.
Document findings, prepare reports, and present technical concepts to diverse stakeholders

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