Senior Engineer Mlops

Abu Dhabi, United Arab Emirates

Job Description

Overview:
We are looking for a talented engineer interested in machine learning, data engineering and computing systems to join us at IIAI. As a MLOps engineer, you will build a product that serves as the base of all our business capacity. You will have major impact on our MLOps capabilities, from automating the retraining, tuning, monitoring, and deployment of ML models to the interfaces that allow various stakeholders, with their skills and role, to collaborate on ML projects.

Senior MLOps engineer will be developing and responsible for our AI platform, which is the base of all our AI services. Furthermore, this platform itself will be a core product of IIAI, to fundamentally change the AI ecosystem of UAE and the world. Responsibilities:
  • Develop, deploy and maintain our latest AI Platform on prem and on cloud.
  • Lead our scientists and engineers to turn the algorithm into concrete solutions - something the clients can run, test and use.
  • Debugging, performance profiling, and optimization of the ML pipelines, and even the whole solution. This includes pipeline level, module level, system-level inspection.
  • Monitor, account, and consult on the resource usage, both hardware, and human cost. Aka, performance with cost in mind.
  • Collaborate with our partners, vendors around the world to achieve common goals. This includes a few meetings at night. Rest assured, we are result-oriented - only meet as necessar
  • Document and track all systems, pipelines, and best practices
Qualifications:
  • Honest, trustworthy, a can-do attitude.
  • BS / MS in Computer Science, Computer Engineering, Software Engineering, or related field.
  • 2+ years of post-MS or 4+ years of post-BS work experience.
  • Hands-on experience on complete ML pipelines (better in NLP), from data preprocessing, (re)training, inference to serving. Excel in at least one component.
  • Hands-on experience with popular ML frameworks like PyTorch, TensorFlow, and more 'pipeline oriented' systems like MLflow and KubeFlow.
  • Reasonable knowledge of (distributed) computing systems. This includes command line, Linux, network model, CUDA, schedulers (Kubernetes), containers (Docker).
  • Reasonable knowledge of (web) software development. This includes data structures, basic algorithms, version controlling (git), backend-frontend systems.
  • Proficient in Bash, Python, YAML / JSON, and English.

What we look for:
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.

What working at G42 offers:

Culture:
An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career:
Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
Work-Life:
A hybrid work policy to strike the perfect balance between office and home.
Rewards:
A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

About G42
G42 is a global leader in creating visionary artificial intelligence for a better tomorrow. Born in Abu Dhabi and operating across the world, G42 champions AI as a powerful force for good. Its people are constantly reimagining what technology can do, applying advanced thinking and innovation to accelerate progress and tackle society's most pressing problems.
G42 is driving change in the region and beyond, joining forces with nations, corporations and individuals to create the infrastructure for tomorrow's world. From molecular medicine to space travel and everything in between, G42 realizes exponential possibilities, today.

To confidently demonstrate that you meet the criteria above, please contact us.

G42 is the force that gets you further. Join us.

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Job Detail

  • Job Id
    JD1455168
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Abu Dhabi, United Arab Emirates
  • Education
    Not mentioned