Princ Engr-AI Science
Core
Lead the architecture and design of AI/ML practice, specifically focusing on cognitive and agentic systems, including generative AI and large-scale NLP projects.
Role type
Principal Engineer (AI Science/Architecture)
Builds
End-to-end AI solutions, data pipelines, and agentic systems for downstream tasks like text generation, classification, and summarization.
Domain
Telecommunications, Generative AI, Agentic Systems, NLP
Deliverable
production ML models
Required skills
Large-scale AI/ML system architecture, Generative/Agentic AI design, LLM fine-tuning and evaluation, Deep Learning (CNN, RNN, LSTM, GAN, DRL), NLP frameworks (Transformers, Pytorch, Tensorflow), MLOps, Python, SQL, PySpark, Scala, Distributed computing, GPU/CPU architecture
Preferred skills
Master's or Ph.D. in CS/AI/ML, Telecommunications industry data experience, Open-source AI/ML contributions
Technologies
Python, SQL, PySpark, Scala, NLTK, Spacy, Transformers, Pytorch, Tensorflow, Hugging Face, RESTful APIs
Responsibilities
Design and deploy end-to-end AI solutions, develop technical architecture for generative/agentic systems, lead and mentor data scientists and AI/ML engineers, stay abreast of AI advancements, collaborate with cross-functional teams, champion AI/ML best practices and ethical AI systems
Seniority
Principal, hands-on IC with leadership and mentorship
