AI Architect

Job Title- Principal Data Scientist / SLM Model Development Architect

Location- Hyderabad/Chennai/Bangalore/Mumbai

Exp- 10+

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

Work Schedule

Day Shift

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

Interested candidates can share there cv-

shivangi.manandhar@etenico.com