Associate Machine Learning Engineer

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July 22

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ANNAM.AI

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Agriculture • Artificial Intelligence • Education

ANNAM. AI is a Center of Excellence (CoE) for AI in agriculture established at IIT Ropar with support from the Ministry of Education. The initiative—Alliance for Next-Gen Nourishment through Agriculture Modernization—focuses on applying artificial intelligence and interdisciplinary research to drive sustainable agricultural practices, improve yields and cost-efficiency, support technology-based solutions, and enable real-time decision-making for the agritech ecosystem. ANNAM. AI runs programs like hackathons, collaborative research, and industry-government-academia partnerships to accelerate innovation and capacity building in digital agriculture.

501 - 1000 employees

Founded 2024

🌾 Agriculture

🤖 Artificial Intelligence

📚 Education

📋 Description

• 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.

🎯 Requirements

• B.Tech/M.Tech/MS in Computer Science, Data Science, AI/ML, or a related field. • Strong foundation in machine learning, deep learning, and statistical modeling. • Proficiency in Python and familiarity with libraries such as PyTorch, TensorFlow, and scikit-learn. • Good understanding of data preprocessing, model evaluation, and validation techniques. • Experience with tools such as Jupyter, Git, and cloud platforms (AWS/GCP/Azure). • Strong analytical and problem-solving skills with a passion for applying AI for social good. • Exposure to LLMs, NLP, computer vision, remote sensing, or geospatial data (preferred). • Prior experience in building or adapting Foundation Models in text, speech or Geo AI or multi-modal/multi-lingual models (preferred). • Experience working with agricultural or environmental datasets (preferred). • Familiarity with model deployment tools and frameworks such as Docker, Flask, or FastAPI (preferred).

🏖️ Benefits

• Be part of a national initiative focused on innovation for public good. • Collaborate with some of the brightest minds at IIT Ropar. • Tackle real-world problems with AI solutions that impact millions. • Opportunity to contribute to research publications, open-source tools, and large-scale societal transformation.