Computational Linguistics Expert

**SUMMARY**

**Location
- Delhi**

**1 Year Contractual Role**

Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems and develop practical AI solutions to tackle these issues to make a substantial positive impact.

We have over 30 AI projects supported by leading philanthropies such as the Bill & Melinda Gates Foundation, USAID, and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design, and user research.

In the Press:

- Our Founder Donors are among the Top 100 AI Influencers
- G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally.
- Unlocking the potentials of AI in Public Health
- Winner of the H&M Foundation Global Change Award 2022
- Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows

**ABOUT BHASHINI**

Bhashini, an initiative under the National Language Translation Mission by MeitY, aims to make digital services accessible in local languages using AI and NLP technologies. By providing translation services for 22 scheduled Indian languages, Bhashini seeks to empower citizens, enhance digital governance, and foster social inclusion. The platform encompasses a comprehensive framework, including a data repository, a model repository, and the Universal Language Contribution API (ULCA), facilitating the development of AI technologies such as machine translation, automatic speech recognition (ASR), text-to-speech (TTS), and optical character recognition (OCR) across various Indian languages.

**ROLES AND RESPONSIBILITIES**
- Language Technology Development: Design, develop, and optimize NLP models tailored for Indian languages, focusing on tasks such as machine translation, ASR, TTS, and OCR and approaches towards fine tuning of the models.
- Data Annotation and Curation: Lead efforts in collecting, annotating, and curating linguistic data, ensuring high-quality datasets for training and evaluation.
- Stakeholder Collaboration: Engage with startups, academic institutions, state governments, and line ministries to identify new use cases and drive the adoption of Bhashini’s language technologies.
- Research and Innovation: Stay abreast of the latest advancements in computational linguistics and AI, integrating cutting-edge techniques into Bhashini’s solutions.
- Proposal Development: Contribute to the drafting of proposals for new projects and partnerships with donors, multilateral organizations, and other stakeholders.
- Documentation and Reporting: Prepare comprehensive documentation, including technical reports, research papers, and user manuals, to support the dissemination and adoption of developed technologies.

**REQUIREMENTS**
- Educational Background: Master’s or Ph.D. in Computational Linguistics, Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 6 years of experience in NLP, with a focus on Indian languages and multilingual systems.
- Technical Skills: Proficiency in programming languages such as Python, familiarity with NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face), and experience with large language models.
- Linguistic Expertise: Deep understanding of the linguistic nuances of Indian languages, including syntax, semantics, and phonetics.
- Project Management: Demonstrated ability to manage projects, coordinate with diverse stakeholders, and deliver results within stipulated timelines.
- Communication Skills: Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences.

DESIRABLE QUALIFICATIONS
- Experience with crowdsourcing platforms and initiatives, such as Bhasha Daan.
- Familiarity with the challenges of low-resource languages and strategies to address them.
- Prior involvement in government or public sector projects related to language technology.
- Publications in reputed journals or conferences in the field of computational linguistics or NLP.