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Job Title- Principal Data Scientist / SLM Model Development ArchitectLocation- Hyderabad/Chennai/Bangalore/MumbaiExp- 10+Role SummaryThe Principal Data Scientist / SLM Model Development Architect is a senior technicalleadership role responsible for defining the architecture, strategy, and enterpriseadoption of Small Language Models (SLMs) and advanced AI solutions. This roleprovides end-to-end ownership of model design, optimization, deployment, andgovernance 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/MLsystems at enterprise scaleWork Schedule Day ShiftKey ResponsibilitiesArchitecture & Strategy Define and own the enterprise architecture, standards, and roadmap forSmall Language Model (SLM) development. Design domain-specific SLMs optimized for accuracy, latency, cost, andscalability. Drive architectural decisions for model selection, fine-tuning, compression, andinference optimization. Ensure alignment of AI solutions with enterprise security, compliance, andgovernance requirements.Advanced Model Development Lead the design, development, and deployment of ML, DL, and SLM-basedsolutions. Apply deep mathematical and statistical knowledge to optimize modelperformance. Demonstrate successful delivery of multiple production deployments withmeasurable business impact. Provide architectural oversight for traditional ML, deep learning, and NLP-basedsystems.NLP & Language Modeling Architect and guide solutions involving NLP, embeddings, transformers, andlanguage models. Lead fine-tuning and adaptation of language models for domain-specific usecases. Establish best practices for prompt engineering, evaluation metrics, andperformance monitoring.Technical & Platform Leadership Provide technical authority in Python, scientific computing, and data processingframeworks. Guide teams on the effective use of TensorFlow, PyTorch, and Keras. Ensure high-quality analytical data access through complex and optimized SQLdesigns. 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 MLEngineers. Lead design reviews, technical decision forums, and architectural governanceboards. Collaborate closely with product, engineering, security, and compliancestakeholders. 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 practicesInterested candidates can share there cv-