AI/ML Infrastructure Engineer

4 weeks ago

Dubai, Dubai, United Arab Emirates Canonical Full time

What We Seek in You

  • Outstanding academic achievements from secondary education and higher learning institutions.
  • Bachelor's degree in a technical discipline or a compelling story about your unique career path.
  • Experience in data architecture, MLOps, or deployment of large-scale data solutions.
  • Proficiency in a relevant programming language, such as Python, R, or Rust.
  • Confidence to engage in discussions, provide constructive feedback, and share innovative ideas.
  • Proven history of exceeding expectations to deliver exceptional outcomes.
  • Demonstrated commitment to ongoing personal and professional development.
  • Hands-on experience with Linux, virtualization, containerization, and networking.
  • A technology-savvy thinker with a business-oriented mindset and problem-solving abilities.
  • Familiarity with cloud computing principles and leading platforms like Kubernetes, AWS, Azure, GCP.
  • Interest in large-scale enterprise open-source solutions, private cloud, machine learning, AI, and data analytics.
  • Intermediate proficiency in Python programming.
  • A genuine passion for technology, reflected through personal projects and initiatives.
  • A strong work ethic and the confidence to collaborate with driven colleagues.
  • Excellent written and verbal communication skills in English, complemented by strong presentation abilities.
  • Experience with Linux (preferably Debian or Ubuntu).
  • Exceptional interpersonal skills, curiosity, adaptability, and accountability.
  • A dynamic individual who enjoys engaging in new projects and collaborating with others.
  • Appreciation for diversity and effectiveness in a multicultural, multinational environment.
  • Thoughtful and self-motivated.
  • Results-driven, with a personal commitment to follow through and meet obligations.
  • Willingness to travel internationally for company events and client or industry meetings, up to two weeks at a time.

What You Will Learn

  • Design and implement AI/ML infrastructures, data processing workflows, and multi-cluster distributed training systems.
  • A broad spectrum of open-source applications and technical skills.
  • Direct engagement with clients across various industries.
  • Hands-on experience with a diverse array of emerging technologies and tools.

What We Offer Our Team Members

We take into account geographical location, experience, and performance when determining compensation globally. We conduct annual reviews of compensation (more frequently for graduates and associates) to ensure recognition of exceptional performance. In addition to base salary, we provide a performance-based annual bonus or commission. Our benefits reflect our values and principles, tailored to meet local needs while ensuring global fairness.

  • Flexible work environment with biannual in-person team gatherings.
  • Personal learning and development budget of USD 2,000 annually.
  • Annual salary review.
  • Recognition rewards.
  • Annual leave.
  • Parental leave for both maternity and paternity.
  • Employee Assistance Program.
  • Opportunities to travel to new locations to connect with colleagues.
  • Priority Pass and travel upgrades for long-distance company events.

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