AI Powered z.systems, a dynamic player in the technology and digital startup ecosystem, is seeking a Lead Machine Learning Engineer to join our Casablanca team. This role is pivotal in translating business objectives into data‑driven solutions that deliver measurable impact across our product portfolio. You will work closely with product managers, data scientists, and software engineers to build end‑to‑end machine learning pipelines that are robust, scalable, and maintainable.
Key responsibilities include:
- Designing and implementing machine learning models that address real‑world problems, from predictive analytics to natural language processing.
- Developing data ingestion, cleaning, and feature engineering workflows using Python, SQL, and cloud data services.
- Optimizing model performance through hyperparameter tuning, cross‑validation, and deployment best practices.
- Collaborating with DevOps to containerize models, set up CI/CD pipelines, and monitor model drift in production.
- Mentoring junior data scientists and engineers, fostering a culture of continuous learning and experimentation.
Technical stack and tools you will work with include:
- Programming languages: Python, R, and JavaScript for data manipulation and visualization.
- Machine learning frameworks: TensorFlow, PyTorch, Scikit‑Learn, and Hugging Face Transformers.
- Data storage and processing: PostgreSQL, BigQuery, Spark, and AWS S3.
- Deployment and monitoring: Docker, Kubernetes, MLflow, and Prometheus.
- Version control and collaboration: Git, GitHub, and Jira.
We value a candidate who is not only technically proficient but also possesses strong communication skills, a problem‑solving mindset, and a passion for leveraging data to drive business outcomes. Your ability to translate complex technical concepts into actionable insights for stakeholders will be essential.
Career growth and development:
- Opportunities to lead high‑impact projects and shape the data strategy for the company.
- Access to cutting‑edge research, conferences, and training programs.
- Clear pathways to senior leadership roles within the data science and engineering organization.
Company culture:
- We promote an inclusive, collaborative environment where ideas are challenged and celebrated.
- Work‑life balance is respected, with flexible hours and a focus on results rather than rigid schedules.
- We encourage experimentation, rapid prototyping, and a fail‑fast approach that accelerates innovation.
To apply, please submit your résumé and a brief cover letter outlining your experience with large‑scale machine learning projects, your preferred tools, and why you are excited about this opportunity. We look forward to exploring how your expertise can help us push the boundaries of what is possible in the digital startup space.
