Requirements
- 5+ years of experience in Data Science or Analytics
- Strong foundation in machine learning and predictive modelling
- Exposure to Generative AI concepts (e.g. LLMs, RAG, fine-tuning, prompt engineering)
- Strong programming skills in Python and SQL
- Familiarity with cloud-based solutions (e.g. GCP, Azure, AWS)
- Experience working with real-world, production data problems
- Ability to communicate technical concepts clearly to non-technical stakeholders
Nice to Have
- Experience in consulting or client-facing environments
- Hands-on experience designing and deploying Generative AI solutions, including Agentic AI systems.
- Experience with MLOps practices and taking models into production environments
- Exposure to modern data engineering practices and integration with data pipelines
- Awareness of Responsible AI practices (bias, evaluation, safety)
