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.

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.