Envision Employment Solutions is currently looking for a Machine Learning Engineer for one of our partners, a global leader in consulting, digital transformation, technology, and engineering services.

Responsibilities:

• 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.
  

Requirements

• 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.
  

Benefits

• Competitive Salary based on experience

• Social and medical insurance
• Learning, development and career progression