Senior AI Scientist

job summary / purpose:

To conduct advanced research and development in artificial intelligence, exploring new techniques and models to support the bank’s digital innovation goals. This role involves developing impactful AI solutions that enhance operational efficiency, elevate customer experience, and enable data-driven strategic decisions.

ROLE AND RESPONSIBILITIES:

• Lead the design, development, and deployment of advanced AI models to solve complex business challenges.
• Research and evaluate emerging AI technologies to determine their applicability to the bank’s strategic goals.
• Collaborate with data scientists and engineers to design scalable AI solutions that integrate with the bank’s existing infrastructure.
• Analyze large datasets to identify patterns, extract insights and build predictive machine learning models.
• Ensure that AI solutions comply with industry standards for security, privacy, and compliance.
• Present findings and recommendations to stakeholders, highlighting potential business impacts and opportunities for AI-driven solutions.
• Mentor and support junior AI scientists, fostering a culture of innovation and best practices in AI research and implementation.
• Document research findings and AI model designs, contributing to the bank’s knowledge base in AI.

Qualifications, Education AND EXPERIENCE

• Bachelor’s degree in Artificial Intelligence, Computer Science, or a related field.
• At least 5 years of experience in AI and machine learning development.
• Proven Experience in:
• Designing, developing, and productionizing AI/ML pipelines and AI Agents
• LLM Evaluations, fine-tuning and prompt engineering.
• Implementing machine learning solutions especially in NLP, forecasting, and OCR.
• Utilizing cloud-based AI platforms such as AWS, Google Cloud, or Azure.

Technical Skills

• Strong programming proficiency in Python and SQL.
• Expertise in machine learning and generative AI frameworks including PyTorch, Hugging Face Transformers, and OpenAI Agents SDK.
• Solid understanding of AI/ML development lifecycle: data analysis, modelling, evaluation, and deployment.

Preferred competencies

• Exceptional analytical and problem-solving skills.
• Strong leadership and mentorship abilities.
• Excellent communication and stakeholder management skills.
• Ability to work effectively in cross-functional teams and guide junior scientists.