Key Responsibilities:
- Develop and implement AI solutions to address business challenges.
- Collaborate with cross-functional teams to translate requirements into technical solutions.
- Formulate risk strategies to enhance risk monitoring using diverse data sources.
- Manage the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring.
- Ensure the performance and reliability of deployed solutions.
- Stay informed on the latest AI/ML advancements.
- Lead the development and rapid deployment of AI solutions influenced by macro-economic factors and current events.
Requires Qualifications, Skills and experience:
- Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics.
- Minimum of 5 years of experience in applied AI/ML.
- Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP is highly preferred.
- Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL. Cloud experience is a plus.
- Experience in model implementation and production deployment is preferred.
Excellent problem-solving, communication, and