By becoming a part of ONE ZERO, you will join a distinguished group with a shared passion for revolutionizing the landscape of banking services. We maintain an unwavering commitment to innovation and the delivery of superior service. Since the inception of ONE ZERO, we have continually aimed to to break the boundaries of traditional banking, aspiring to redefine the realm of the possible.

Within our Data & AI Group, we are at the forefront of the bank's journey. Our group's mission is to create an 'Autonomous Banker.', a concept embodying our aspiration to democratize private banking, striving to make personalized, expert-level financial advice and services universally accessible, regardless of one’s financial background.

We utilize advanced algorithms, machine learning, and unique data to construct systems that can learn, reason, and engage with customers intelligently and individually. We firmly believe in universal access to expert financial counsel, allowing everyone the opportunity to secure their financial future. This mission propels our everyday endeavors.

As a member of our AI team, you'll be at the heart of our operations. You'll lead the development and deployment of predictive models, ensuring they remain robust and relevant in real-world banking applications. Leveraging advanced techniques, you'll decode customer intents from free-text, automatically identify the required actions to be carried out, and ensure safe, compliant and accurate communication of the outcomes. Your expertise will be vital in personalizing recommendation systems, extracting scalable insights, and translating complex data into understandable communication. These are some of the aspects we should tackle in order to ensure the Autonomous Banker we build can proficiently serve our clients.

Responsibilities:

• Develop and Optimize Models: Engineer, implement, and optimize machine learning, deep learning, NLP, and LLM-based models to address business needs
• Collaborate on Model Integration: Work with cross-functional teams to integrate and deploy models into production efficiently
• Conduct Research: Research the latest advancements in data science, especially in LLMs, and integrate relevant findings into our processes
• Communicate Technical Findings: Convey complex technical insights to both technical and non-technical stakeholders clearly
  
  

Requirements:

• B.Sc. or M.Sc. in Computer Science or a related field
• Demonstrate proficient software development skills with at least 2 years of experience in coding, primarily in Python
• Have a minimum of 4 years of proven experience in developing machine learning models, encompassing all stages from problem definition to production
• Exhibit a strong theoretical grasp of Deep Learning, NLP, attentions, transformers, foundational models, and Large Language Models (LLMs)
• Hands-on experience with popular machine learning libraries
• Proficiency in SQL
  
  

Advantages:

• Familiarity with sophisticated statistical modeling techniques is advantageous
• Exceptional written and verbal communication skills, with the ability to articulate technical concepts to diverse audience
• Possess a business-centric approach, with the proficiency to align technical solutions seamlessly with business goals and objectives