Senior Machine Learning Engineer

Reposted 19 Days Ago
Be an Early Applicant
Riyadh
In-Office
Senior level
Artificial Intelligence • Software • Generative AI
The Role
The role involves designing, deploying, and optimizing machine learning models and generative AI solutions for various clients, ensuring performance and scalability.
Summary Generated by Built In

About Mozn

MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.

About the role

We are looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.

What you'll do

  • Designing, building, and scaling machine learning models and infrastructure
  • Deploying deep learning and generative models into production for public and private sector projects
  • Collaborating with data scientists, product managers, and stakeholders to deliver AI-driven insights
  • Optimizing ML training and inference for performance, latency, and scalability
  • Monitoring, retraining, and improving deployed ML models
  • Driving consultation efforts, providing expert guidance to client stakeholders

Qualifications

  • Bachelor’s or master’s degree in computer science or related field
  • 4+ years of experience in ML engineering, data science, and generative AI
  • Strong track record of projects across public and private sectors
  • Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
  • Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
  • Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
  • Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
  • Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
  • Familiarity with MLOps practices and automation pipelines

Benefits

  • You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
  • You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
  • The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
  • You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
  • We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves


Top Skills

Docker
Kubernetes
Mlflow
Oci Data Science
Onnx
Python
PyTorch
Sagemaker
TensorFlow
Vertex Ai
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The Company
HQ: Al Muhammadiyah
361 Employees
Year Founded: 2017

What We Do

Mozn is a Saudi technology company committed to advancing digital humanity through the harnessing of artificial intelligence to build enterprise AI-powered products – FOCAL, the end-to-end Risk and Compliance platform and OSOS, the leading Arabic Gen AI platform – along with tailored AI solutions designed to meet the unique needs of enterprises across various sectors.

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