About the Job:
Capgemini’s Global Insights & Data business line is a market leader in data, platform, and analytics across various sectors, including financial services, consumer products, manufacturing, and life sciences. The role of GenAI Technical Lead involves the design, development, and implementation of AI/ML and Generative AI technologies within the company's platform.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Responsibilities:
- Define and implement a generative AI architecture and roadmap aligned with business goals.
- Architect scalable GenAI solutions for real-world evidence generation.
- Collaborate with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for applications such as scientific literature analysis, regulatory intelligence, and patient engagement.
- Design GenAI solutions leveraging cloud platforms (AWS, Azure, GCP) or on-premises infrastructure while ensuring data security and regulatory compliance.
- Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments.
- Manage and execute multiple AI/ML projects, ensuring timely delivery and compliance with specifications.
- Collaborate with data engineers to maintain data quality and availability for model training and evaluation.
- Work closely with product management, engineering, and business development teams on requirements and AI/ML solutions.
- Stay updated with advancements in GenAI, multimodal AI, AI agents, and synthetic data generation.
Qualifications:
- Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies.
- Hands-on experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in programming languages such as Python, R, and SQL.
- Familiarity with MLOps practices for model deployment, monitoring, and maintenance.
- Knowledge of cloud computing platforms (e.g., AWS, Azure) for AI/ML workloads.
- Understanding of ethical AI principles and data privacy regulations.
- Experience in SAP ABAP, SAP BW, or Cloudera ML is a plus.
- Effective communication of complex technical concepts to non-technical stakeholders.
This position offers an opportunity to contribute to innovative projects while working in a dynamic and inclusive environment.
