About Company Process9 is Indias leading language technology company, poised for a major growth in the domestic and global geographies, to vie for a global leadership in the language technology space. Process9 is the next Unicorn candidate to watch out for. Language services is a $50 billion global industry, while the language market in India is growing by over 30% year-on-year. Process9 is bringing Multilingual Transformation to Enterprises, to make their Digital Transformation complete and scalable. More than 80% of Indian population is not English savvy whereas over 98% of Internet content in India is in English. The need for local language content in India is growing like wild fire. Process9 intends to meet the language needs of the industry and Govt to capture a large share of this unmet need. Being a B2B and SaaS based software company, we develop middleware application platforms for language localization of websites, mobile apps, enterprise applications, digital transaction journeys, digital documents and much more. We develop the best-in-class Natural Language Processing (NLP) software using AI/ML technologies for translation, language processing and voice applications for Indian and global languages that are used by hundreds of leading enterprises in India and now attracting global users on the Internet and Smartphones. Our goal is to connect with all digital users regardless of their native languages and make localization easy-to-use and commercially viable for e-businesses We were one of the finalists in the TOP35 INNOVATIONS at the CNN-IBN networked India campaign. For more information, please visit our website: https://process9.com/ Position: Sr. Data Scientist (Multilingual AI/ML) Location: Gurgaon, Haryana We are seeking an experienced Data Scientist to spearhead our multilingual AI/ML initiatives, focusing on natural language processing, speech technologies, and domain-specific model development. The ideal candidate will have extensive experience in training and fine-tuning transformer-based models, speech recognition/synthesis systems, and large language models for specialized applications. Job Responsibilities: Development of multilingual transformer models for machine translation (OpenNMT) and TTS/STT systems (Coqui TTS). Fine-tune Whisper models for speech to text Fine-tune LLMs for fintech/other domain. Build Agentic chatbots using LangChain/LlamaIndex. Design synthetic data pipelines and cross-lingual training strategies. Mentor team members and drive model deployment with engineering teams. Desired Profile: 4+ years experience in ML/NLP. Strong Python, PyTorch/TensorFlow, and Hugging Face expertise. Experience with MLOps, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure). Knowledge of data privacy and compliance requirements, especially in fintech contexts