Senior Machine Learning Engineer

Forvis Mazars in Qatar; Doha; On-site; QAR 250,000 - 360,000; Full time

Job summary

Forvis Mazars in Qatar is seeking a Senior Machine Learning Engineer to design, build, and operate ML solutions supporting services such as document processing and anomaly detection. You will prepare datasets, train and tune models, deploy scalable inference services, and ensure documentation throughout the model lifecycle.

The role requires strong hands-on skills in Python, ML frameworks, data engineering, and MLOps practices, with fluency in English and Arabic preferred.

Qualifications

• Bachelor's degree in Computer Science, AI, or Data Engineering is required; Master's preferred for advanced roles.
• Hands-on ML/AI experience with practical deployment.
• Strong programming skills and knowledge of model lifecycle and governance.

Responsibilities

• Define ML problem statements and data requirements.
• Build data pipelines ensuring data quality.
• Train, evaluate, and tune ML and deep learning models.
• Deploy models and monitor for drift.
• Ensure security, privacy, and regulatory compliance.
• Collaborate with developers on integration.
• Prepare technical documentation and model cards.

Skills

Python

scikit-learn

TensorFlow

PyTorch

SQL

REST APIs

CI/CD

Model monitoring

MLOps practices

Education

Bachelor's degree in Computer Science, AI, or Data Engineering

Master's degree preferred

Tools

N/A

Job description

About The Role

We're hiring a Senior Machine Learning Engineer to design, build, and operate ML solutions supporting services such as document processing and anomaly detection. You'll prepare datasets, train and tune models, deploy scalable inference services, and ensure compliance and documentation throughout the model lifecycle.

Key Responsibilities

• Define ML problem statements and data requirements
• Build data pipelines ensuring data quality
• Train, evaluate, and tune ML and deep learning models
• Deploy models and monitor for drift
• Ensure security, privacy, and regulatory compliance
• Optimize infrastructure performance and cost
• Prepare technical documentation and model cards
• Collaborate with developers on integration
• Recommend improvements to MLOps pipelines
• Perform other related tasks as assigned

Required Qualifications

• Bachelor's degree in Computer Science, AI, or Data Engineering (Master's preferred)
• Minimum 5 years of experience in applied ML/AI
• Strong hands-on skills: Python, scikit-learn, TensorFlow or PyTorch, SQL, REST APIs, CI/CD, model monitoring, MLOps practices

Preferred Qualifications

• Cloud ML certification
• Prior experience delivering projects for government or public-sector clients in the Middle East
• Fluency in Arabic and English