Generative AI Architect/Lead

About the job : Job Title : Principal Data Scientist / SLM Model Development ArchitectExp : 10+Location : Bangalore/ Hyd/ChennaiRole Summary : The Principal Data Scientist / SLM Model Development Architect is a senior technical leadership role responsible for defining the architecture, strategy, and enterprise adoption of Small Language Models (SLMs) and advanced AI solutions. This role provides end-to-end ownership of model design, optimization, deployment, and governance while mentoring teams and influencing AI strategy across the organization.Educational Qualification : - ME / BE / MCA / PhD - PhD preferred for advanced research and architectural leadership rolesExperience : - 10+ years of experience in Data Science, Machine Learning, and Deep Learning - Proven experience in architecting and deploying production-grade AI/ML systems at enterprise scaleKey Responsibilities : Architecture & Strategy : - Define and own the enterprise architecture, standards, and roadmap for Small Language Model (SLM) development. - Design domain-specific SLMs optimized for accuracy, latency, cost, and scalability. - Drive architectural decisions for model selection, fine-tuning, compression, and inference optimization. - Ensure alignment of AI solutions with enterprise security, compliance, and governance requirements.Advanced Model Development : - Lead the design, development, and deployment of ML, DL, and SLM-based solutions. - Apply deep mathematical and statistical knowledge to optimize model performance. - Demonstrate successful delivery of multiple production deployments with measurable business impact. - Provide architectural oversight for traditional ML, deep learning, and NLP-based systems.NLP & Language Modeling : - Architect and guide solutions involving NLP, embeddings, transformers, and language models. - Lead fine-tuning and adaptation of language models for domain-specific use cases. - Establish best practices for prompt engineering, evaluation metrics, and performance monitoring.Technical & Platform Leadership : - Provide technical authority in Python, scientific computing, and data processing frameworks. - Guide teams on the effective use of TensorFlow, PyTorch, and Keras. - Ensure high-quality analytical data access through complex and optimized SQL designs. - Oversee development in Linux and GPU-based environments.Cloud, MLOps & Production Readiness : - Architect and govern ML/AI solutions on AWS or Azure platforms. - Define and enforce MLOps standards, including CI/CD, model versioning, monitoring, and lifecycle management. - Ensure reliability, scalability, and maintainability of AI systems in production.Leadership & Mentorship : - Act as Principal Architect and technical mentor for Data Scientists and ML Engineers. - Lead design reviews, technical decision forums, and architectural governance boards. - Collaborate closely with product, engineering, security, and compliance stakeholders. - Drive innovation while ensuring delivery discipline in Agile environments.Required Skills & Expertise : - Strong foundation in ML algorithms : Random Forest, SVM, Regression models, Boosting & Bagging - Deep learning expertise : CNN, RNN, LSTM, GRU - Advanced NLP and language model experience - Expert-level Python programming - Cloud-based ML architecture and deployment - Enterprise AI governance and best practices (ref:hirist.tech)