Job Description
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
