Specialist - Enterprise Channels (AI Applications)

Exciting opportunity with our banking client in Qatar. We arelooking for Innovative and technically skilled IT Specialist to join ourEnterprise Channels team with a focus on AI -driven applications in the bank's ApplicationDelivery department. This role involves designing, developing, and maintainingAI -powered solutions for customer -facing channels such as mobile banking,chatbots, voice assistants, and personalized recommendation engines. The idealcandidate will combine expertise in artificial intelligence, machine learning,and software development to enhance customer experiences, optimize operationalefficiency, and drive digital transformation in alignment with the bank'sstrategic goals. Key Responsibilities•  AI Application Development & Integration: -     Design, develop, and deploy AI/ML models andapplications for enterprise channels, including chatbots (NLP), fraud detectionsystems, sentiment analysis tools, and personalized financial insights. -     Integrate AI solutions with existing channels (e.g.,mobile apps, online banking platforms) using APIs, microservices, andcloud -native technologies. -     Collaborate with data scientists to operationalizemachine learning models into production systems.•  Technical Support & Optimization: -     Provide Level 2/3 support for AI -driven applications,troubleshooting issues related to model performance, data pipelines, andintegration errors. -     Monitor AI systems for accuracy, latency, and bias,refining models and algorithms to improve outcomes. -     Optimize AI workflows for scalability and efficiencyusing tools like TensorFlow, PyTorch, or Azure ML.•  Collaboration & Agile Delivery: -     Work with cross -functional teams (product, UX/UI, dataengineering) to translate business requirements into AI -powered features. -     Participate in Agile/Scrum processes to deliverprojects on time, including sprint planning, testing, and deployment. -     Document technical designs, model architectures, anddeployment pipelines for internal and regulatory review.•  Compliance & Ethical AI Governance: -     Ensure AI applications comply with regulatorystandards (e.g., GDPR, CCPA) and ethical AI principles (e.g., fairness,transparency). -     Implement guardrails to mitigate risks of bias, dataprivacy breaches, and model drift. -     Support audits and risk assessments for AI systems inalignment with banking regulations.•  Innovation & Continuous Improvement: -     Research emerging AI trends (e.g., generative AI,reinforcement learning) and propose use cases for banking channels. -     Automate repetitive tasks (e.g., customer servicerouting, document processing) using AI/ML techniques. -     Stay updated on advancements in AI frameworks, MLOps,and cloud platforms (AWS SageMaker, Google AI Platform).  RequirementsQualifications:•  Education: -     Bachelor's degree in computer science, Data Science,AI, or a related field. Master's degree or certifications (e.g., AWS MLSpecialty, Google ML Engineer) are a plus.•  Experience: years of experience in AI/ML applicationdevelopment, preferably in banking, fintech, or financial services. -     Hands -on experience with AI -driven customer channels(e.g., chatbots, recommendation engines, predictive analytics). -     Proficiency in programming languages like Python,Java, or R, and frameworks like TensorFlow, PyTorch, or scikit -learn. -     Familiarity with NLP tools (e.g., spaCy, Hugging Face)and cloud AI services (e.g., Azure Cognitive Services, IBM Watson).•  Technical Skills: -     Expertise in building and deploying ML models inproduction environments. -     Knowledge of RESTful APIs, containerization (Docker,Kubernetes), and CI/CD pipelines for AI applications. -     Experience with big data tools (Spark, Hadoop) anddatabase systems (SQL, NoSQL). -     Understanding of MLOps practices for model monitoring,versioning, and retraining.•  Soft Skills: -     Strong analytical and problem -solving skills with afocus on delivering business value. -     Excellent communication skills to explain complex AIconcepts to non -technical stakeholders. -     Collaborative mindset with the ability to thrive incross -functional teams Key Competencies -     AI/ML Application Development & Deployment -     Enterprise Channel Integration (Mobile, Web, Chat) -     Ethical AI & Regulatory Compliance -     Collaboration & Agile Delivery -     Innovation & Technical Troubleshooting.