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Engaged Employer

Digital Green

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4.0

based on 11 Reviews

2 Digital Green Jobs

Machine Learning Engineer I

Digital Green

4.0

based on 11 Reviews

2-5 years

Bangalore / Bengaluru

1 vacancy

Machine Learning Engineer I

Digital Green

posted 28d ago

Job Role Insights

Flexible timing

Key skills for the job

Python Machine Learning Natural Language Processing CCTV Monitoring Data Processing Apache Nifi

+ 3 more

Job Description

Job Title: ML Engineer
Location: Bangalore
Team: Technology

About Digital Green

D igital 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, foundational knowledge of Natural Language Processing (NLP) techniques to develop intelligent solutions for real-world agricultural challenges 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. Your primary focus will be managing and building robust pipelines to support end-to-end machine learning workflows. You will collaborate with cross-functional teams to ensure the efficiency and scalability of data processing, model training, and deployment pipelines. This role emphasizes contributing to substantive projects that enhance the pace and quality of AI-driven solutions, aligning with team-level objectives.

Key Responsibilities:

Design, develop, and maintain data pipelines to process multi-modal agricultural datasets (text, voice, images).
Build automated pipelines for preprocessing, feature engineering, and model training in collaboration with senior engineers.
Assist in creating scalable deployment pipelines that integrate ML models into production systems.
Work on ensuring continuous delivery and monitoring of ML models through CI/CD frameworks.
Contribute to optimizing pipeline performance, reducing latency, and ensuring reliable data flow.
Troubleshoot and resolve issues in data processing and deployment pipelines, ensuring minimal downtime.
Support senior engineers in accomplishing team objectives by delivering on assigned pipeline-related tasks.
Document processes and share knowledge to build team capabilities in pipeline management.

Qualifications:

Bachelor s or Master s degree in Computer Science, Engineering, or a related field with foundational knowledge of machine learning and software engineering.
2 3 years of experience in building and managing data/ML pipelines or related roles.
Familiarity with tools like Apache Airflow, MLflow, or similar pipeline orchestration frameworks.
Proficiency in Python with experience in libraries like pandas, NumPy, and PyTorch/TensorFlow.
Good understanding of NLP techniques such as language modeling, text classification, named entity recognition, sentiment analysis, and machine translation to build and enhance ML solutions.
Good understanding of ETL processes, data quality assurance, and pipeline optimization.
Exposure to Docker, Kubernetes, and cloud services like AWS or GCP.
Strong debugging and problem-solving skills with attention to detail.
Growth-oriented mindset with the ability to adapt and learn quickly.
Strong communication and collaboration skills to work effectively in a team setting

Compensation and Application Process:

Digital Green is a great place to work and prides itself on a competitive and comprehensive compensation and benefits package. Digital Green 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.

Employment Type: Full Time, Permanent

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