Experience:

• 13+ years in AI Engineer role
• Proven leadership in AI engineering
• Experience with advanced AI techniques and technical initiatives

Qualification:

• Bachelor’s degree in Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering
• Master’s degree in relevant quantitative field
• PhD in relevant quantitative field

Responsibilities:

• Lead design, architecture, and implementation of scalable AI applications
• Integrate and fine-tune large language models for NLP and generative AI
• Architect and implement Agentic AI systems and workflows
• Design and implement API architectures and integrations
• Deploy and manage AI solutions on cloud platforms
• Establish code quality standards and AIOps governance
• Lead testing, deployment, and monitoring of AI models in production
• Lead research and innovation in AI, machine learning, and NLP
• Collaborate with product managers, data scientists, and engineering leaders

Additional responsibilities:

• Translate complex business requirements into AI solutions
• Drive digital transformation in Treasury
• Ensure responsible and ethical use of data and AI outputs

Nice to have:

• Experience with Terraform for infrastructure as code
• Experience with UI frameworks such as Svelte, Angular, Django, Streamlit, or Taipy
• Experience in financial services industry

More skills:

FastMcp, NLP, Generative AI, API design and integration, GCP CloudRun, Cloud Composer, scikit-learn, pandas, NumPy, SQL, Dialogflow CX, AIOps

Other:

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit
• Sponsorship for industry relevant certifications and education
• Employee Assistance Program for employee and family
• Comprehensive hospitalization insurance for employee and dependents
• Accident and term life insurance
• Complementary health screening for age 35 and above
• Training and development opportunities
• Coaching and support from experts
• Culture of continuous learning
• Flexible benefits tailored to individual needs
• Inclusive and fair work environment
• Emphasis on collaboration, responsibility, and initiative