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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and Bangalore location increase competition, but GenAI specialization reduces applicant pool.
Specialized ML/GenAI skills transfer across industries but require deep technical expertise.
Mandatory GenAI, SLM fine‑tuning and MLOps expertise makes shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Engineer and maintain innovative, secure, high-performance software solutions within a feature team throughout the full software lifecycle.
Produce complex and critical software rapidly with high quality to add business value, collaborating with engineers, architects, and business analysts.
Support Small Language Models (SLMs) with fine-tuning, data cleaning, tokenisation, evaluation, experimentation, metric tracking, and assist with model deployment and MLOps tasks.
Minimum Requirements
Location Requirement: Must carry out all working days in India (Bangalore).
Experience Required: Background in software engineering, software design, architecture; experience with development/testing tools, bug tracking; experience with SLM fine-tuning and related tasks; experience in automating data and training processes.
Work Experience: Not explicitly mentioned in the JD.
Employment Type: Full-time, permanent role offered at Associate Vice President level.
Ideal Candidate Profile
Experienced software engineer capable of handling full lifecycle software development and deployment in a collaborative feature team setting.
Familiar with machine learning processes related to Small Language Models, including experimentation, metrics tracking, and MLOps.
Comfortable working in a large-scale technology environment using technologies such as Python, Java, AWS, Google Cloud, Kafka, Hadoop, and PostgreSQL.