Senior AI Engineer

5 months ago

Remote, MoroccoSenior

Responsibilities

Design, train, fine-tune, and evaluate classical machine-learning, deep-learning, generative AI, computer-vision, and forecasting models.
Conduct exploratory data analysis, statistical testing, time-series analysis, and forecasting to inform features, prompts, and business KPIs.
Build reproducible data ingestion, feature engineering, prompt-store, training, CI, and monitoring workflows.
Develop prompts, RAG pipelines, domain-specific LLM fine-tuning, and autonomous or assistive AI agents.
Expose AI components as microservices and event-driven workflows and integrate them with Airflow, Prefect, and business APIs.
Track advances in LLMs, computer vision, and analytics and share engineering best practices.
Mentor junior engineers and contribute to technical direction.

BSc in Computer Science, Mathematics, or a related field.
At least 5 years of professional experience working on AI/ML projects.
Professional fluency in written and spoken English and Arabic.
Proficiency in Python, PyTorch or TensorFlow, scikit-learn, pandas, and NumPy.
Strong understanding of machine-learning algorithms, deep-learning fundamentals, statistics, data wrangling, visualization, and exploratory analysis.
Familiarity with at least one of OpenCV, Hugging Face Transformers, LangChain, MLflow, or a similar tool.
Understanding of software-engineering practices including Git, code reviews, testing, and CI.
Preferred: C++ or C# experience, model deployment with Docker, Kubernetes, or cloud AI services, vector databases, RAG, BI/dashboard tools, time-series frameworks, MLOps/LLMOps tooling, image processing, Spark/PySpark, distributed data processing, SQL optimization, and modern data lake architectures.

Apache AirflowApache SparkDatabricksDockerDVCGitHugging Face TransformersKubernetesMatplotlibMLflowNumPyOpenCVPandasPython PyTorchscikit-learnSQLTensorFlow

501-1,000 employees