What are the responsibilities and job description for the Senior ML Engineer position at Digital Green?
Senior, ML Engineer
Reports to : AI Director, Technology
About Digital Green
Digital Green is a pioneer global not for profit organization, utilizing digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities. By harnessing the power of technology, we facilitate knowledge sharing, capacity building, and market linkages, enabling farmers to adopt sustainable agricultural practices and increase their productivity and income.
We are dedicated to transforming the lives of under-served smallholder farmers worldwide through innovative technology solutions. Backed by leading philanthropic organizations such as the Bill & Melinda Gates Foundation (BMGF), Walmart Foundation, USAID, and UK Foreign, Commonwealth & Development Office (UKFCDO), we are committed to leveraging data and technology to empower smallholder farmers and strengthen agricultural extension systems.
Job Summary
As a Machine Learning Engineer specializing in Natural Language Processing (NLP) for farmer.chat at Digital Green, you will have the opportunity to apply cutting-edge machine learning techniques to empower small-holder farmers with intelligent conversational bots. Working closely with cross-functional teams and government partners, you will play a vital role in developing and deploying NLP solutions tailored for the agricultural domain, ultimately driving positive impact and transformation in farming communities worldwide.
Key Responsibilities:
- Model development: develop ML models and algorithms for NLP tasks such as query understanding and decomposition, query reformulation, semantic similarity matching
- Data preprocessing: Preprocess and analyze agricultural multi-modal data (text, voice, videos, etc.) collected from diverse sources, ensuring data quality, relevance, and appropriateness for model training
- Model optimization: Optimize language models using state-of-the-art techniques and methodologies, and fine-tune them to perform effectively in low-resource settings and local languages.
- Model deployment and integration: Deploy trained models into staging and production environments, integrate them with our conversational bot platform
- Performance monitoring and evaluation: Monitor model performance in real-world deployments, track key metrics such as accuracy, latency, drift, readability scores etc
- Stakeholder engagement: Collaborate with government partners, product team and engineering team to understand their needs and requirements
Qualifications:
- Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, or a related field with a focus on machine learning and NLP
- Experience: Proven experience of 5 years as a machine learning engineer, data scientist, or software engineer, with hands-on experience in deploying machine learning models
- Programming Skills: Proficiency in Python and experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and NLTK
- NLP Knowledge: Strong understanding of NLP techniques including language modeling, text classification, named entity recognition, sentiment analysis, and machine translation
- Software Engineering Skills: Solid software engineering skills, including proficiency in github/ gitlab, docker, and cloud computing platforms (e.g., AWS, GCP, Azure)
- Problem-solving Skills: Excellent analytical and problem-solving skills, with the ability to understand complex requirements and devise innovative solutions
- Team Player: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment and contribute to a culture of innovation and excellence
Compensation and Application Process:
Digital Green Trust is a great place to work and prides itself on a competitive and comprehensive compensation and benefits package. Digital Green Trust is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please send your application along with an updated CV and a cover letter explaining your suitability for the position. All completed applications should be applied through
Join us at Digital Green and leverage your expertise in AI to transform agricultural practices and improve the livelihoods of smallholder farmers worldwide.
