Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Envision Employment Solutions is seeking a Senior Machine Learning Engineer for their global partner specializing in consulting, digital transformation, and technology services. This role demands expertise in deploying advanced ML models and AI solutions across cloud environments, with a focus on end-to-end ML lifecycle management. The position requires working on US time zones and potential international travel. Key responsibilities include architecting scalable data pipelines, implementing MLOps practices, and leading cross-functional collaboration. The ideal candidate will have 6+ years of AI experience, strong Python skills, and cloud platform expertise. They should be proficient in ML frameworks, data processing tools, and MLOps practices. The role offers competitive compensation, healthcare benefits, and professional development opportunities. This position combines technical leadership with mentoring responsibilities, making it ideal for experienced ML engineers looking to impact a global organization's AI initiatives. The hybrid work environment in New Cairo City provides flexibility while maintaining collaborative opportunities.
Responsibilities For Senior Machine Learning Engineer
- 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
- Architect and optimize scalable data pipelines and cloud-based infrastructures
- Develop and maintain CI/CD pipelines for ML workflows
- Integrate monitoring and alerting systems
- Work with cross-functional teams to translate business needs into technical solutions
- Mentor junior engineers and contribute to knowledge sharing
Requirements For Senior Machine Learning Engineer
- 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
- Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch)
- Strong command of SQL and experience with large-scale data processing tools
- Deep understanding of cloud platforms (Azure, AWS, GCP)
- Skilled in MLOps practices, including CI/CD, containerization, and orchestration
- Familiarity with Git and collaborative development workflows
- Excellent written and verbal communication skills
- Fluent in Qatari Arabic & English, both spoken and written
Benefits For Senior Machine Learning Engineer
- Competitive Salary based on experience
- Social and medical insurance
- Learning, development and career progression
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