Team: Gen-AI Research team, within Phi Labs Role Level: Senior ML Engineer Job

location:
Bengaluru Responsibilities ● Stay ahead of the AI maturity curve, focusing on the upcoming areas of AI research, curate new ideas and upcoming research areas, explore multiple areas of Al research, ● Build rapid prototypes and conduct detailed experimental studies to prove concepts in multiple AI and Engineering domains like Generative-AI, NLP, Multimodal AI, Computer-Vision, Reinforcement Learning etc. ● Work with experienced researchers and engineers to build cutting edge solutions on LLMs, Multimodal LMs, Multi-Agentic Workflows and more, resulting in various novel baselines and models ● Contribute to Q’s growth through new ideas, reusable building blocks/assets, and IP (publications & patents) ● Enhance company brand through thought leadership, document the knowledge gained and disseminate to broader audience in multiple formats, working on technical content creation, publications, in conjunction with content-team and program managers Requirements The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research into tangible reusable assets for the community. Hence this would require a high level of conceptual understanding,



attention to detail and agility in terms of adaptation to new technologies. Must have: ● Preferred Level of

Education:
Master’s or PhD ● Minimum work experience required : from new graduates to 3+ yrs of research experience post graduation ● Excellent in-depth understanding of ML concepts and the respective underlying mathematical know-how ● Hands-on experience in developing and improving Large Language Models and related techniques (finetuning / quantization / distillation / inference optimization / model merging etc.) is a must ● Knowledge of Cloud-environments like GCP/Azure, ML frameworks like PyTorch, Agent-frameworks like Langchain, ADK etc., with good experience in large scale distributed training ● Excellent coding skills (Python advanced) and flexible mindset, with ability to quickly switch between & adapt to newer concepts ● Ability to translate abstract highlights into understandable insights in multiple knowledge dissemination formats like blogs, presentations, paper-publications, tutorials and webinars. Good to have: ● Demonstrated industry research experience will be considered as an additional bonus. ● Prior R&D; experience, and/or publications at top-tier ML conferences will be an advantage. ● Solid classical education on math/physics/mechanics/CS/Engineering concepts will also be an advantage.

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 Quantiphi
📍 Bengaluru