TL;DR
Senior Machine Learning Engineer (AI Engineering): Building and scaling the company's ML and data platform to empower AI innovation, with an accent on infrastructure, best practices, and team growth. Focus on designing robust, scalable systems and tackling performance challenges to enable ML acceleration.
Company
hirify.global combines world-class AI research with real-world applications that make a difference.
What you will do
- Design, build, and maintain the core ML infrastructure and data platform.
- Optimize the ML lifecycle from research to production.
- Drive technical direction and promote best engineering practices.
- Enable Research and Product teams and mentor colleagues.
- Build robust, scalable systems and tackle performance challenges.
Requirements
- Experience building and managing end-to-end ML pipelines and data infrastructure.
- Solid software engineering foundation and 2+ years of Python experience.
- Expertise in cloud platforms (ideally AWS) and Infrastructure-as-Code.
- Ability to design robust, distributed systems.
- Excellent communication and teamwork abilities.
Nice to have
- Proven track record with 5+ years of experience in managing ML Infrastructure & Ops or equivalent responsibilities.
- At least 3+ years building scalable ML systems.
- GPU scaling experience.
- Tooling development for internal users.
- Numerical computing skills.
- Basic ML knowledge (computer vision a plus).
- Familiarity with our Tech Stack.
Culture & Benefits
- Committed to building a diverse team and inclusive workplace.
- Offer equal opportunities without discrimination.
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