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ML Engineer at Malomatia

Doha, , Qatar -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

0.0

Posted On

21 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, Python, Docker, Kubernetes, Scikit-learn, TensorFlow, PyTorch, MLflow, Kubeflow, CI/CD, Oracle Cloud Infrastructure, Model Deployment, Data Pipelines, Model Monitoring, API Design, Terraform

Industry

IT Services and IT Consulting

Description

Must Have * 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. * Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. * Production experience with classical machine-learning workloads — distinct from generative-AI application development. * Strong collaboration skills across data science, software engineering, and platform teams. * Commitment to building reliable, well-engineered, and maintainable systems. Nice to Have * Experience with feature stores and large-scale or streaming data pipelines. * Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. * Experience with workflow orchestration tools (e.g., Apache Airflow). * Familiarity with model-serving frameworks and API design for inference. * Light exposure to generative-AI or LLM deployment. * Experience operating systems in a regulated or enterprise environment. * Cloud or MLOps certifications.

Responsibilities

The role focuses on operationalizing machine learning models into reliable, scalable, and observable production systems on Oracle Cloud Infrastructure. The engineer bridges the gap between data science and software engineering to build robust model pipelines and serving infrastructure.