Posted:16 hours ago|
Platform:
Hybrid
Full Time
This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services.
The ideal candidate will bring deep technical expertise across the AI/ML lifecyclefrom prototyping to deploymentwhile contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team.
Model Development & Optimization
RAG & Agentic Systems (Exposure, Not Ownership)
Production Engineering / MLOps
Data & Feature Engineering
Code Quality & Collaboration
Security, Compliance, Performance
Programming Languages & Frameworks
Cloud & DevOps
Databases
RAG Components
Multi-Agent Frameworks
Testing & Quality
1012 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end.
Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field.
Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD.
Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus.
Soft Skills & Leadership Attributes
Influential communication: Translate complex ML concepts for non-technical stakeholders; strong presentation & storytelling.
Mentorship mindset: Coach, upskill, and inspire cross-functional teams; foster psychological safety.
Ownership & bias for action: Deliver POCs, iterate based on feedback, drive solutions to production.
Critical thinking & experimentation: Data-driven decision making, hypothesis testing, A/B experimentation.
Adaptability: Stay current with rapid advances in GenAI, tooling, and research; evaluate emerging models/services.
Aziro
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