About the job :

Job Title : Principal Data Scientist / SLM Model Development Architect

Exp : 10+

Location : Bangalore/ Hyd/Chennai

Role 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 roles

Experience :

- 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 scale

Key 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