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.
