AI Engineer in Banking Domain
TAT IT Technolgies
Role:We have an urgent requirement for AI Engineer in Banking Domain (Must) is required for our banking client in Oman
Design, develop, deploy, and maintain AI, Machine Learning, Deep Learning, and Generative AI solutions, including predictive models, NLP, recommendation engines, and intelligent automation applications.-Must
Build data pipelines, integrate AI models with enterprise applications, APIs, and cloud platforms (Azure, AWS, GCP), while supporting MLOps, CI/CD, and production deployment.--Must
Collaborate with business stakeholders to identify AI opportunities, translate business requirements into AI-driven solutions, and support the bank’s digital transformation, innovation, and customer experience initiatives.---Must
Ensure AI solutions comply with data governance, cybersecurity, regulatory, and Responsible AI standards, including model monitoring, bias detection, explainability, documentation, version control, and audit readiness.--Must
Experience developing and deploying AI/ML solutions, predictive models and Generative AI applications.--MustBanking Must
Summary
Responsible for designing, developing, implementing and maintaining Artificial Intelligence and Machine Learning solutions that support the bank’s digital transformation strategy. The role builds intelligent applications, develops predictive models, automates business processes and integrates AI capabilities into enterprise systems to enhance operational efficiency, customer experience and data-driven decision-making while ensuring compliance with governance, cybersecurity and regulatory requirements.ResponsibilitiesStrategic
Design and implement AI solutions aligned with the bank’s digital transformation and innovation strategy.
Identify opportunities to leverage AI, Generative AI, Machine Learning, and automation to improve business processes and customer experience.
Support the development of the bank’s AI roadmap, standards, and best practices.
Collaborate with business stakeholders to understand business challenges and translate them into AI-driven solutions.
Evaluate emerging AI technologies, frameworks, and industry trends to recommend innovative solutions.
Operational
Build and optimize predictive models, recommendation engines, natural language processing, computer vision, and Generative AI applications where applicable.
Design, develop, test, deploy, and maintain AI and Machine Learning models for business use cases.
Develop data pipelines and integrate AI models with enterprise applications, APIs and cloud platforms.
Monitor AI model performance, accuracy, and reliability, implementing improvements as needed.
Develop technical documentation, model documentation and user guides.
Work closely with Data Engineers, Business Analysts, Solution Architects and IT teams to deploy AI solutions into production.
Troubleshoot AI applications and provide technical support for deployed solutions.
Participate in proof-of-concepts, pilots, and innovation initiatives.
Compliance
Maintain proper documentation, version control, and audit trails for AI models and development activities.
Ensure AI solutions comply with the bank’s data governance policies, cybersecurity standards, responsible AI principles, and regulatory requirements.
Ensure secure handling of sensitive customer and business data during model development and deployment.
Monitor AI models for bias, fairness, accuracy, explainability, and ongoing performance.
Skills
Python, SQL, and AI programming frameworks
Machine Learning and Deep Learning
Generative AI and Large Language Models
API development and system integration
Natural Language Processing
Cloud platforms (Azure, AWS, or Google Cloud)
Data Engineering and model deployment (MLOps)
Git, CI/CD, and DevOps practices
Data Visualization and Reporting tools
Agile Development methodologies
Education
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related discipline.
A Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or a related field is an advantage.
Professional certifications in Microsoft Azure AI, AWS Machine Learning, Google Professional Machine Learning Engineer, TensorFlow, or equivalent AI technologies are preferred.
Experiences
3-6 years of experience in Artificial Intelligence, Machine Learning, Data Science or Software Engineering.
Experience developing and deploying AI/ML solutions, predictive models and Generative AI applications.
Proficiency in Python and modern AI frameworks, with experience integrating AI solutions into enterprise applications.
Skills: artificial intelligence,bank,machine learning
