We are looking for a Senior Machine Learning Engineer to join our team in Muscat, Oman. The ideal candidate will have 5+ years of experience in developing and deploying ML models, with expertise in Python, TensorFlow, and PyTorch. The role involves leading the design, optimization, and deployment of ML pipelines, as well as mentoring junior engineers and collaborating with stakeholders.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
đź’Ľ Job Title: Senior Machine Learning Engineer
đź“Ť Location: Muscat, Oman (relocation support will be provided)
We are looking for an ML powerhouse to join us in beautiful Muscat! If you’re a Senior ML Engineer who loves getting under the hood of high-performance computing (HPC) and hardware acceleration to solve massive business challenges, we want to chat. 🚀
This isn't just about building models; it’s about leading the charge on design, optimization, and deployment at scale. You’ll be our go-to expert for turning complex problems into sleek, AI-driven reality.
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What you’ll be doing:
- Building the Engine: Architecting production-ready ML pipelines from scratch—from training all the way to deployment.
- Pushing Limits: Optimizing workloads using CUDA, cuDNN, and Nvidia TensorRT to make sure everything runs lightning-fast.
- The Heavy Lifting: Doing the deep-dive data analysis and feature engineering needed for top-tier datasets.
- Leading the Pack: Mentoring junior engineers, heading up code reviews, and making sure we’re always following best practices.
- Collaborating: Working closely with stakeholders to turn business needs into technical wins.
- Staying Sharp: Keeping us on the cutting edge by staying obsessed with the latest AI/ML advancements.
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🔍 We're looking for someone with:
- 5+ years of hands-on experience developing and deploying ML models.
- A pro with Python, TensorFlow, and PyTorch.
- Experience with tools like MLflow or Kubeflow.
- Advanced skills in Docker, REST APIs, and Git.
- Someone who knows their way around Nvidia Nsight, PyTorch Profiler, or Tensorboard for optimization.
- Experience deploying AI solutions on AWS, GCP, or Azure.
- Strong leadership vibes and the ability to explain "techy" things to non-techy people.
- A Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
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