Role Summary
The Lead AI Engineer designs and delivers AI and computer vision solutions on Microsoft Azure, focusing on scalable, production‑ready systems. This role bridges data science and engineering and owns AI components end‑to‑end.
Key Responsibilities
- Design and implement AI/ML and computer vision solutions.
- Productionize models using Azure services and APIs.
- Build scalable inference pipelines and AI services.
- Collaborate with Data Engineers and Data Scientists.
- Define AI engineering best practices and patterns.
- Guide and mentor AI engineers.
- Ensure performance, reliability, and responsible AI practices.
Required Skills & Experience
- 5–6 years of experience in AI / ML engineering.
- At least 1 year of real‑world image processing / computer vision experience.
- Strong Python and deep learning frameworks (PyTorch or TensorFlow).
- Experience with Azure ML, containers, and model deployment.
- Experience owning AI solutions from development to production.
- Exposure to Foundry.
- Experience with real‑time or near‑real‑time inference systems.
- Knowledge of model monitoring and drift detection.
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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