Associate Machine Learning Engineer

This is a remote position.

Call for Applications for Associate Machine Learning Engineer – ANNAM.AI

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.

Key Responsibilities:

• 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

Required Qualifications:

• 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.

Preferred Qualifications:

• Exposure to LLMs, NLP, computer vision, remote sensing, or geospatial data.

• Prior experience in building or adapting Foundation Models in text, speech or Geo AI or multi-modal / multi-lingual models.

• Experience working with agricultural or environmental datasets.

• Familiarity with model deployment tools and frameworks such as Docker, Flask, or FastAPI.

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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.