We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. Come join us in reshaping the future!
As an Applied AI ML Associate Sr within our AI for Operations team, you will work on developing cutting-edge natural language processing systems to serve our customers and internal agents supporting the bank’s operations .You will experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business.
Job Responsibilities
- Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
- Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
- Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
- Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
Required qualifications, capabilities, and skills:
- Undergraduate and master’s degrees in Computer Science,
- Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
- Advanced demonstratable programming skills of 2 years (masters or industry experience) on more than 1 programming language is required.
- Can learn quickly programming in another programming language and seamlessly.
- Full understanding of and hands-on programming with data structures, algorithms, operating systems, compilers, databases, and systems.
Preferred qualifications, capabilities, and skills:
- Undergraduate and master’s degree in computer science with concentration in NLP or Search experience.
- Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).
- Prefer training and work experience in NLP and search.
- experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
- Spark, Python, Scala, Java.