Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS).
Design, develop, and deploy AI models in real-world client and business environments.
Monitor and research emerging AI trends, fostering an agile, forward-looking development environment.
Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making.
Work with cross-functional teams—data engineers, architects, and data scientists—to deliver efficient, high-quality solutions aligned with client needs.
Requirements
Minimum years experience required 3 Years
Minimum Educational Qualifications: Data Science professionals, Economists, and Actuaries with a specialization in Data Science.
Strong statistics knowledge
Experience with programming languages such as Python, R.
Utilize machine learning models.
Knowledge of Information Security and Data Protection