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Protocol Intelligence
Data-driven signals on your job's competitivenessTier‑1 employer and metro location increase applicant density, balanced by GenAI specialization.
GenAI and MLOps skills are broadly transferable across industries, so background fit sensitivity is low.
Requires specialized GenAI, fine‑tuning, MLOps and deployment skills, raising selection stringency.
Job Description
Structured overview of role & requirementsAbout This Role
Engineer and maintain high-performance, secure, and robust software solutions within a feature team.
Produce complex and critical software rapidly that adds measurable business value, responsible for full software life cycle from development to deployment and operations.
Collaborate across teams including engineers, architects, and business analysts to optimize software engineering capabilities.
Minimum Requirements
Experience with software engineering, design, and architecture supporting customer-centric solutions.
Proven experience with Small Language Models (SLMs) fine-tuning, data cleaning, tokenisation, evaluation, and running experiments with metric tracking and reporting.
Experience in model deployment and MLOps tasks, automating data and training processes, and solving complex analytical/numerical problems.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Someone with extensive hands-on software engineering expertise in developing and deploying AI/ML models, especially in natural language processing (Small Language Models).
Candidate thrives in cross-functional feature teams handling end-to-end software delivery with rapid iteration and high-quality output.
Comfortable working in complex environments requiring automation of data/training workflows and collaborating to enhance software engineering processes.