Job Opportunity for AI Researcher at Digital Green in Bangalore, Karnataka, India

## AI Researcher – Language, Voice and Image 

**Digital Green** is a global not-for-profit organization dedicated to empowering smallholder farmers worldwide through innovative technology solutions. We leverage digital platforms and community-driven approaches to amplify farmers’ voices and improve their livelihoods.  Backed by leading philanthropic organizations like the Bill & Melinda Gates Foundation, Walmart Foundation, USAID, and UK Foreign, Commonwealth & Development Office, we are committed to using data and technology to empower smallholder farmers and strengthen agricultural extension systems.

**Job Location:** Bangalore, Karnataka, India

**Experience Required:** 8+ years in AI research with a strong track record of developing language models, ASR models, and computer vision algorithms. Experience in the agricultural domain is a plus.

**About the Role:**

As an AI Researcher at Digital Green, you will play a crucial role in developing cutting-edge AI models for the agricultural domain. You will focus on language, voice, and computer vision, improving our conversational bots, voice-enabled interfaces, and image analysis systems.  Your work will directly impact the lives of smallholder farmers by enabling them to access vital information, manage their farms efficiently, and increase their productivity and income.

**Key Responsibilities:**

* **Domain-specific Language Modeling:** Develop language models trained on agricultural text data to improve our bots’ ability to understand and generate content related to farming practices, crop management, pest control, weather forecasting, and other relevant topics. Enhance comprehension and generation in local languages commonly used by farmers and design algorithms to recognize and interpret agricultural terminology, abbreviations, and regional dialects.

* **Voice Recognition Model Development:** Develop and optimize automatic speech recognition (ASR) models for native languages spoken by smallholder farmers, incorporating domain-specific terminologies and regional dialects. Utilize advanced techniques like deep learning, transfer learning, and data augmentation to ensure high accuracy and reliability in real-world settings.

* **Computer Vision Model Development:** Design and develop computer vision models and generative AI algorithms for agricultural applications, including plant disease detection, field infestation monitoring, crop detection, and image generation from textual descriptions. Utilize real data collected from agricultural fields and remote sensing platforms. 

* **Data Collection and Annotation:** Formulate and coordinate a comprehensive plan with program teams and third-party services to collect, annotate, and ensure high-quality agricultural text, speech, and image data in local languages. Capture diverse linguistic variations, agricultural contexts, and image scenarios for training and fine-tuning models.

* **Model Training, Optimization, and Evaluation:** Train and optimize language, ASR, and computer vision models using state-of-the-art techniques to achieve high accuracy and reliability. Evaluate model performance using key metrics and iteratively refine models based on feedback and insights.

* **Collaboration and Integration:** Collaborate closely with software engineers, data scientists, agricultural experts, and product managers to integrate AI capabilities into Digital Green’s platforms, ensuring seamless functionality and user experience. Share insights and learnings with internal teams, government partners, and stakeholders to facilitate knowledge transfer and capacity building.

* **Continuous Improvement and Knowledge Sharing:** Stay updated with the latest advancements in NLP, ASR, and computer vision research and techniques. Continuously refine and optimize models to deliver state-of-the-art performance. Document model architectures, training procedures, and best practices, and share knowledge with cross-functional teams and stakeholders.

**Qualifications:**

* PhD or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field with a focus on NLP, speech recognition, or computer vision.

* Proven experience of 8+ years in AI research, with a strong track record of developing language models, ASR models, and computer vision algorithms. Experience in the agricultural domain is a plus.

* Proficiency in Python and experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, Kaldi, Mozilla DeepSpeech, OpenCV, and Keras.

* Strong analytical and problem-solving skills, with the ability to critically evaluate research papers, design experiments, and interpret results.

* Familiarity with agricultural practices, terminology, plant biology, crop diseases, and field monitoring techniques, with a demonstrated ability to customize AI solutions for domain-specific requirements.

* Excellent interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders and communicate technical concepts to non-technical audiences.

**To Apply:**

Digital Green Trust offers a competitive and comprehensive compensation and benefits package. We are proud to be an equal opportunity employer.  Please submit your application, updated CV, and a cover letter explaining your suitability for the position through [**DO NOT INCLUDE LINK**]. 

Join us at Digital Green and use your expertise in AI to transform agricultural practices and improve the lives of smallholder farmers worldwide!