JOB DESCRIPTION
Principal Data Scientist / SLM Model Development Architect
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 domain-specific Small Language Models (SLMs), multi-agent systems, and advanced AI solutions. This role provides end-to-end ownership of model design, fine-tuning, optimization, evaluation, deployment, and governance for production AI systems - while mentoring teams, tracking the research frontier, and shaping the organization's applied-AI strategy.
EDUCATIONAL QUALIFICATION
- ME / BE / MCA / PhD
- PhD preferred for advanced research and architectural leadership roles

EXPERIENCE
- 10+ years in Data Science, Machine Learning, and Deep Learning
- Proven experience architecting and deploying production-grade AI/ML and LLM/SLM systems at enterprise scale
- Demonstrated ability to read, evaluate, and rapidly operationalize current research papers into production systems

WORK SCHEDULE
- Day Shift





KEY RESPONSIBILITIES
Architecture & Strategy
- Define and own the enterprise architecture, standards, and roadmap for domain-specific SLM development and multi-agent AI systems.
- Design SLMs optimized for accuracy, latency, cost, and scalability - including on constrained hardware (e.g., single-GPU / small-VRAM / A100/H100 inference and training envelopes).
- Drive architectural decisions across model selection, fine-tuning (QLoRA / LoRA / multi-LoRA / adapter-gated approaches), quantization/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 rigor to model performance - including class-imbalance rebalancing, long-tail coverage, and calibration (avoiding over-emit / over-c

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