Machine Learning Engineer

Job Description

Machine Learning & AI Solutions

• Deploy advanced machine learning models and AI-driven solutions across cloud environments.
• Lead the end-to-end lifecycle of ML models, from data ingestion and feature engineering to model training, evaluation, and deployment.
• Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.

Cloud & Data Engineering

• Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, or GCP) to support ML workloads.
• Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.

MLOps & Automation

• Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
• Integrate monitoring and alerting systems to track model drift, data quality, and system performance.

Collaboration & Innovation

• Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
• Mentor junior engineers and contribute to knowledge sharing and best practices across the team.

Technical Skills:

• Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
• Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
• Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
• Familiarity with Git and collaborative development workflows.

Experience:

• 6+ years of experience working with complex datasets and solving real-world business problems using AI

• Proven track record of deploying and maintaining ML models in production environments.

Communication Skills:

• Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
• Fluent in Qatari Arabic & English, both spoken and written.

Additional Skills:

• Strong problem-solving abilities and attention to detail.
• Ability to work collaboratively in a team environment.
• Self-motivated with a continuous learning mindset.
• Team management.