Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.
About the role
- Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
Responsibilities
- Develop and deploy machine learning models for classification, regression, clustering, and anomaly detection across business domains.
- Design and fine-tune generative AI models (e.g., LLMs, transformers, diffusion models) for applications such as document summarization, synthetic data generation, intelligent assistants, and automated content creation.
- Build robust data pipelines and model serving infrastructure using MLOps best practices to ensure scalability, reliability, and maintainability.
- Collaborate with cross-functional teams to identify AI opportunities and translate business needs into technical solutions.
- Ensure compliance with AI governance, risk strategy, and ethical standards.
- Mentor junior data scientists and contribute to the AI Center of Excellence.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, or related field.
- 7+ years of experience in AI/ML, including 2+ years in generative AI.
- Strong engineering skills in Python, SQL, and cloud platforms (Azure, AWS, GCP).
- Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and containerization (Docker, Kubernetes).
- Proficiency in deep learning frameworks (PyTorch, TensorFlow) and LLMs.
- Strong understanding of prompt engineering, fine-tuning, and model evaluation.
- Excellent communication and stakeholder engagement skills.
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