To lead research initiatives, provide strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products to drive transformative solutions that redefine industries and uplift communities worldwide.
Requirements
- Advanced degree in STEM engineering degree, or equivalent AI/ML research work experience
- Knowledge of data structures, algorithms and software engineering fundamentals.
- Proven experience with modern ML frameworks in Python, (Pytorch, Numpy).
- Strong understanding of clean code practices.
- Ability to communicate technical ideas and express complex concepts to different types of audience
- Experienced in designing end to end pipelines with MLOps.
- Proficient with SQL, Spark, Airflow and data pipeline design in dealing with real-time financial data.
Responsibilities
- Lead research initiatives, provide strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products.
- Conduct technical research studies to provide additional facts needed to make informed strategic decisions.
- Establishes strong relationships with internal teams to gain an understanding of their strategies, objectives, and tactics to develop a comprehensive success measurement plan.
- Provides expertise in the most complex processes of integrating ML/AI across existing and modified applications.
- Collaborate with and support leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results.
- Stays abreast of emerging technologies and identifies potential use of new and existing technology within lines of business
Other
- 8+ years of related experience required; experience in the securities or financial services industry is a plus.
- Ability to communicate technical ideas and express complex concepts to different types of audience
- Mentors and develops a successful team of machine learning engineers.
- Contribute to the achievement of Application Development objectives.
