Senior AI/ML Engineer

Core Responsibilities

• Conduct advanced research in AI domains, such as Generative AI, Agentic AI, Cognitive AI architectures, call transcription, and large language models; Drive the development of new algorithms, models and techniques that push the boundaries of AI technology.
• Work closely with engineering teams to transition research findings into scalable, production-ready solutions; Develop prototypes and proof of concept systems that demonstrate the applicability of research findings to business problems.
• Publish research in top-tier AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL); Present findings at conferences, workshops, and internal forums to showcase advancements and foster knowledge sharing.
• Mentor junior scientists and engineers in conducting high-quality research and writing impactful publications; Provide technical guidance and support to ensure research aligns with both academic and business goals.
• Partner with cross-functional teams to align research priorities with business needs; Work closely with product and engineering teams to design AI solutions that are both innovative and practical
• Ensure all research and solutions adhere to responsible AI principles, prioritizing safety.

Qualifications

• Advanced degree (Post Doctorate or PhD or Master’s in Computer Science, AI, Data Science or related field)
• At 5+ years of relevant work experience
• Deep understanding of cutting-edge AI research topics, such as multi-agent systems, generative models, or cognitive architectures
• Familiarity with Responsible AI practices and frameworks
• Consistent publication record in top tier conferences and journals with high H-index is a plus.