Data Scientist

We are looking for a forward-thinking Data Scientist to join our R&D team in the publishing domain. The ideal candidate is passionate about AI, stays updated with the latest trends, and is skilled in building and deploying ML models that solve real-world problems. Key Responsibilities • Research and apply Gen AI/ML techniques to publishing use cases. • Design, build, and deploy scalable machine learning models. • Explore emerging technologies and trends to drive innovation. • Collaborate with cross-functional teams to design intelligent features and integrate models into products. • Ensure model performance, scalability, and accuracy in production environments. • Create POCs for new Gen AI/ML use cases and experiment with emerging technologies. • Stay updated with latest trends in Gen AI, ML, and data science to drive innovation. • Communicate complex findings clearly with both technical and non-technical stakeholders. • Research and prototype new AI/ML techniques tailored to publishing. Requirements • Minimum 2–3 years of hands-on experience in ML/AI. • Strong knowledge of Gen AI/ML concepts and algorithms. • Hands-on experience in deploying models to production (cloud or on-premises). • Proficiency in Python, ML frameworks, AI frameworks & SQL. • Up to date with the latest trends and advancements in AI. • Bachelor's or Master's in Computer Science, Data Science, or a related field.

TNQ Tech, with 26 years of experience, is a leading technology company in the STM publishing industry. We have been working towards solving the problems of scientific publishers by leveraging our domain, technology, and design expertise.