Job Opportunity for Senior ML Engineer – Natural Language Processing (NLP) at Digital Green in Bangalore, Karnataka, India

Digital Green

## Senior ML Engineer – Natural Language Processing (NLP)

 

**About Digital Green**

 

Digital Green is a leading global non-profit organization dedicated to empowering smallholder farmers with technology and data to improve their livelihoods. We leverage innovative digital platforms and community-driven approaches to amplify farmers’ voices, facilitate knowledge sharing, and build strong agricultural extension systems. Backed by renowned philanthropic organizations like the Bill & Melinda Gates Foundation, Walmart Foundation, USAID, and UKFCDO, we are committed to driving positive change in farming communities worldwide.

 

**Job Summary**

 

We are seeking a talented and passionate Senior ML Engineer to join our growing team. As an NLP specialist for farmer.chat, you will be responsible for developing, deploying, and optimizing cutting-edge machine learning models to power intelligent conversational bots for smallholder farmers. You will work closely with cross-functional teams and government partners to create tailored NLP solutions for the agricultural domain.

 

**Key Responsibilities**

 

* **Model Development:** Develop and implement machine learning models and algorithms for various NLP tasks such as query understanding and decomposition, query reformulation, and semantic similarity matching.

* **Data Preprocessing:** Analyze and prepare agricultural multi-modal data (text, voice, video, etc.) from diverse sources, ensuring data quality, relevance, and suitability for model training.

* **Model Optimization:** Employ state-of-the-art techniques and methodologies to optimize language models, ensuring effective performance in low-resource settings and local languages.

* **Model Deployment and Integration:** Deploy trained models into staging and production environments, seamlessly integrating them with our conversational bot platform.

* **Performance Monitoring and Evaluation:** Monitor model performance in real-world deployments, tracking key metrics like accuracy, latency, drift, readability scores, etc. 

* **Stakeholder Engagement:** Collaborate with government partners, product teams, and engineering teams to understand their needs and effectively implement solutions.

 

**Qualifications**

 

* **Education:** Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Engineering, or a related field with a strong focus on machine learning and NLP.

* **Experience:** 5+ years of experience 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 like TensorFlow, PyTorch, Scikit-learn, and NLTK.

* **NLP Knowledge:** In-depth understanding of NLP techniques including language modeling, text classification, named entity recognition, sentiment analysis, and machine translation.

* **Software Engineering Skills:** Strong software engineering skills, including proficiency in Github/Gitlab, Docker, and cloud computing platforms (AWS, GCP, Azure).

* **Problem-solving Skills:** Excellent analytical and problem-solving abilities, with the capability to understand complex requirements and develop innovative solutions.

* **Team Player:** Strong interpersonal and communication skills, adept at working effectively in a collaborative team environment and contributing to a culture of innovation and excellence.

 

**Location:** Bangalore, Karnataka, India

 

**Compensation:** Digital Green Trust offers a competitive and comprehensive compensation and benefits package.

 

**To Apply:** Please submit your application through the provided link along with an updated CV and a cover letter explaining your suitability for the position. 

 

**Join us at Digital Green and make a real difference in the lives of smallholder farmers worldwide!** 

 

To apply for this job please visit digitalgreen.applytojob.com.