Specialist- Enterprise Channels (AI Applications)

Fusion Outsourcing; Doha; On-site; QAR 80,000 - 100,000; Full time

Job summary

A leading company in Qatar is seeking an innovative IT Specialist to enhance customer experiences through AI-driven applications. The role focuses on developing and maintaining AI solutions for mobile banking and chatbots. Ideal candidates will have expertise in AI, machine learning, and software development, contributing to the bank's digital transformation goals.

Qualifications

• 3-5 years of experience in AI/ML application development.
• Hands-on experience with AI-driven customer channels.
• Proficiency in programming languages like Python, Java, or R.

Responsibilities

• Design, develop, and deploy AI/ML models and applications.
• Provide Level 2/3 support for AI-driven applications.
• Collaborate with cross-functional teams to deliver projects.

Skills

AI/ML Application Development

Collaboration

Problem-Solving

Education

Bachelor’s degree in computer science

Master’s degree or certifications

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Spark

Hadoop

Job description

Exciting opportunity with our banking client in Qatar. We are
looking for Innovative and technically skilled IT Specialist to join our
Enterprise Channels team with a focus on AI-driven applications in the bank’s Application
Delivery department. This role involves designing, developing, and maintaining
AI-powered solutions for customer-facing channels such as mobile banking,
chatbots, voice assistants, and personalized recommendation engines. The ideal
candidate will combine expertise in artificial intelligence, machine learning,
and software development to enhance customer experiences, optimize operational
efficiency, and drive digital transformation in alignment with the bank’s
strategic goals.

Key Responsibilities

•AI Application Development & Integration:

-Design, develop, and deploy AI/ML models and
applications for enterprise channels, including chatbots (NLP), fraud detection
systems, sentiment analysis tools, and personalized financial insights.

-Integrate AI solutions with existing channels (e.g.,
mobile apps, online banking platforms) using APIs, microservices, and
cloud-native technologies.

-Collaborate with data scientists to operationalize
machine 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, and
integration errors.

-Monitor AI systems for accuracy, latency, and bias,
refining models and algorithms to improve outcomes.

-Optimize AI workflows for scalability and efficiency
using tools like TensorFlow, PyTorch, or Azure ML.

•Collaboration & Agile Delivery:

-Work with cross-functional teams (product, UX/UI, data
engineering) to translate business requirements into AI-powered features.

-Participate in Agile/Scrum processes to deliver
projects on time, including sprint planning, testing, and deployment.

-Document technical designs, model architectures, and
deployment pipelines for internal and regulatory review.

•Compliance & Ethical AI Governance:

-Ensure AI applications comply with regulatory
standards (e.g., GDPR, CCPA) and ethical AI principles (e.g., fairness,
transparency).

-Implement guardrails to mitigate risks of bias, data
privacy breaches, and model drift.

-Support audits and risk assessments for AI systems in
alignment 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 service
routing, document processing) using AI/ML techniques.

-Stay updated on advancements in AI frameworks, MLOps,
and cloud platforms (AWS SageMaker, Google AI Platform).

Requirements

Qualifications:

•Education:

-Bachelor’s degree in computer science, Data Science,
AI, or a related field. Master’s degree or certifications (e.g., AWS ML
Specialty, Google ML Engineer) are a plus.

•Experience:

-3-5 years of experience in AI/ML application
development, 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 in
production environments.

-Knowledge of RESTful APIs, containerization (Docker,
Kubernetes), and CI/CD pipelines for AI applications.

-Experience with big data tools (Spark, Hadoop) and
database systems (SQL, NoSQL).

-Understanding of MLOps practices for model monitoring,
versioning, and retraining.

•Soft Skills:

-Strong analytical and problem-solving skills with a
focus on delivering business value.

-Excellent communication skills to explain complex AI
concepts to non-technical stakeholders.

-Collaborative mindset with the ability to thrive in
cross-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.