32 AI Architect jobs in the United Arab Emirates

**Job Description: Principal AI Security Architect - Pre-Sales**
**Location: UAE - Travel up to 50% across EU, UK, and Middle East for technical design workshops, and on-site infrastructure assessments.**
**About WWT**
World Wide Technology (WWT) is a global technology integrator and supply chain solutions provider that brings an innovative and proven approach to how organizations around the world discover, evaluate, architect and implement technology. Through our culture of innovation, we inspire, build and deliver business results, from idea to outcome. WWT was an early investor in AI, starting to build its Data Science practice over decade ago, focusing on the advancement of Machine learning, Deep learning and Large Language Model.
**About the Role**
As enterprises accelerate AI adoption, the security landscape is becoming increasingly complex-from model leakage and dataset poisoning to unauthorized inference and cross-border data governance. Organizations investing in AI infrastructure don't just require performance-they require trust.
In this role, you will serve as the AI security domain expert within our technical pre-sales and go-to-market team. Your primary responsibility is to help customers architect and validate secure AI infrastructure-spanning deployment models, data pipelines, access control, and regulatory compliance across regions.
This role extends beyond technical execution. You'll shape customer cyber risk postures, support board-level security strategy, and contribute to security narratives for regulatory reviews, PE/VC due diligence, and long-term planning.
You'll work across a diverse set of stakeholders-including OEMs, hyperscalers, legal/compliance leaders, and enterprise CISOs-to bridge technical risk with business clarity. Your insights will influence AI reference architectures, global security playbooks, and the design of sovereign-ready infrastructure at scale.
**Key Responsibilities**
+ Lead pre-sales engagements to define secure, compliant AI infrastructure for GSP customers.
+ Contribute content to account team to support RFX responses (RFI,RFQ)
+ Design and validate security controls across AI pipelines-data ingestion, training, inference, and audit logging.
+ Define strategies for encryption, access control, model protection, and multitenancy isolation.
+ Embed security into reference architectures alongside OEMs, cloud providers, and internal delivery teams.
+ Advise on regulatory alignment with GDPR, NIS2, UAE privacy law, and the EU AI Act.
+ Support executive briefings, investment cases, and audit readiness materials for PE/VC boards and CISOs.
+ Create reusable SOW content, security patterns, and compliance templates for repeatable deployments.
+ Stay current on emerging threats: adversarial ML, prompt injection, data poisoning, and LLM misuse.
+ Serve as a trusted advisor to customer CISOs, CTOs, and compliance leaders on secure AI architecture.
**You Should Have**
+ 10+ years in security architecture, ideally with experience in AI, HPC, or large-scale data platforms.
+ Deep expertise in IAM, encryption, isolation strategies, audit logging, and network security in hybrid environments.
+ Deep expertise with Security frameworks such as NIST, CIS.
+ Strong understanding of AI-specific security risks: model theft, data leakage, dataset poisoning, and LLM risks.
+ Experience working with cloud platforms (ex: AWS, Microsoft, GCP), container orchestration (Kubernetes, Run:AI, etc.) and multi-tenancy; including hard and soft partitioning.
+ Experience leading technical workshops with customers staff up to an including C-level.
+ Proven ability to work across engineering, legal, and business teams to define and communicate risk postures.
+ Experience building security models, compliance plans, or technical controls documentation.
+ Deep expertise with SaaS/AI (TSA, ANSSI, ENISA) regulatory requirements including GDPR, DORA, EU AI Act, & UAE compliance frameworks.
+ Demonstrated ability to contribute to CxO discussions, investment cases, and board-level strategy.
+ Strong presentation and influence skills-able to guide both technical teams and senior leadership.
+ Industry certifications (e.g., CISSP, CCSP, CCSK) a plus but not required.
Do we need to prescribe this?
We can then add things like TSA, ANSSI, ENISA as they are more general but have have applicability to cloud, networking, AI etc
**You Should Have**
+ 10+ years in security architecture, ideally with experience in AI, HPC, or large-scale data platforms.
+ Deep expertise in IAM, encryption, isolation strategies, audit logging, and network security in hybrid environments.
+ Deep expertise with Security frameworks such as NIST, CIS.
+ Strong understanding of AI-specific security risks: model theft, data leakage, dataset poisoning, and LLM risks.
+ Experience working with cloud platforms (ex: AWS, Microsoft, GCP), container orchestration (Kubernetes, Run:AI, etc.) and multi-tenancy; including hard and soft partitioning.
+ Experience leading technical workshops with customers staff up to an including C-level.
+ Proven ability to work across engineering, legal, and business teams to define and communicate risk postures.
+ Experience building security models, compliance plans, or technical controls documentation.
+ Deep expertise with SaaS/AI (TSA, ANSSI, ENISA) regulatory requirements including GDPR, DORA, EU AI Act, & UAE compliance frameworks.
+ Demonstrated ability to contribute to CxO discussions, investment cases, and board-level strategy.
+ Strong presentation and influence skills-able to guide both technical teams and senior leadership.
+ Industry certifications (e.g., CISSP, CCSP, CCSK) a plus but not required.
Do we need to prescribe this?
We can then add things like TSA, ANSSI, ENISA as they are more general but have have applicability to cloud, networking, AI etc
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call and ask for Human Resources.

The Role
As Head of Data Science, you'll be responsible for setting the vision, strategy, and technical roadmap for all data science initiatives. You'll lead the design of models, analytics platforms, and AI-driven insights that directly influence investment decisions across diverse asset classes. This role blends leadership with hands-on delivery, requiring both strategic thinking and technical depth. Client Details An oranisation that is embarking on a transformative journey to embed data-driven decision-making at the heart of its investment strategy. Description * Establish and scale a new Data Science function, defining tools, frameworks, and best practices from scratch. * Build predictive and prescriptive models to support investment decision-making, portfolio optimisation, and risk management. * Design and implement data acquisition, cleansing, and enrichment pipelines for internal and external financial datasets. * Work closely with investment teams to translate business objectives into analytical and AI/ML solutions. * Recruit, mentor, and develop a high-performing team of data scientists and engineers. * Ensure all models and analytics meet rigorous governance, compliance, and ethical standards. * Stay ahead of emerging technologies to drive continuous innovation in the investment analytics space. Job Offer * The freedom and resources to build a cutting-edge Data Science capability from scratch. * Direct impact on high-value investment decisions. * Collaborative, visionary environment with long-term growth potential.

Requirements
* Advanced degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * 12 years combined experience, with at least 7 years of experience in Data Science roles, including leadership in building or scaling teams. * Proven track record in developing investment analytics, financial modelling, or quantitative research solutions. * Proficiency in Python, R, or similar languages, and familiarity with relevant ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Experience with cloud-based data platforms and big data tools. * Strong business acumen in financial services, asset management, or investment strategy. * Excellent stakeholder management skills, with the ability to influence senior leadership.

About the company
Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world. The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of: Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Contacts

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

Responsibilities

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

Qualifications

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

In this role, your key responsibilities include:

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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We are seeking a Senior Data Science Engineer with expertise in building and operationalizing production-grade machine learning pipelines . The ideal candidate will have hands-on experience with MLFlow, Databricks, and Azure ML , and a strong background in developing ML solutions for healthcare predictive use cases . This role will be central to embedding ML models into enterprise data workflows and ensuring their ongoing performance.

Key Responsibilities

• ML Pipeline Engineering : Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.

• Model Development : Develop and optimize ML models, particularly for healthcare predictive analytics .

• Integration : Embed ML models into KPI-driven data processing and analytics workflows .

• Model Lifecycle Management : Implement model monitoring, drift detection, retraining, and continuous improvement strategies.

• Collaboration : Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.

Key Skills & Experience

• 6+ years of experience in machine learning engineering or applied data science .

• Hands-on expertise with MLFlow, Databricks, and Azure ML .

• Strong experience in developing and deploying predictive ML models , ideally within healthcare.

• Proficiency in Python, SQL, PySpark , and modern ML frameworks (TensorFlow, PyTorch, or Scikit-learn).

• Knowledge of model monitoring, drift detection, and automated retraining strategies .

• Familiarity with cloud-native ML architectures and CI/CD for ML (MLOps).

• Strong problem-solving and collaboration skills with a focus on production-grade delivery.

Why Join Us?

• Work on cutting-edge healthcare predictive analytics solutions .

• Gain exposure to enterprise-scale ML pipelines on modern platforms.

• Opportunity to drive end-to-end ML lifecycle ownership .

• Competitive compensation and career growth in a fast-growing data-driven organization.

We are looking for an experienced freelance trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

Course Overview

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

• Understanding big data concepts and architecture
• Overview of data processing frameworks (e.g., Hadoop, Spark)
• Data storage, management, and analytics fundamentals
• Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

Trainer Requirements

• Qualification in Data Science, Computer Science, IT, or related field
• Minimum 5 years of professional or training experience in data analytics or big data technologies
• Strong communication and facilitation skills
• Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

• Updated CV or professional profile
• Relevant training experience
• Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

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Course Title: Big Data FundamentalsLocation: Eton Abu Dhabi, Yas IslandDates: 3 days workshop

We are looking for an experienced Freelance Trainer to conduct a 3-day workshop on Big Data Fundamentals  for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

Course Overview:

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

Understanding big data concepts and architecture

Overview of data processing frameworks (e.g., Hadoop, Spark)

Data storage, management, and analytics fundamentals

Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

Trainer Requirements:

Qualification in Data Science, Computer Science, IT, or related field

Minimum 5 years of professional or training experience in data analytics or big data technologies

Strong communication and facilitation skills

Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

Updated CV or professional profile

Relevant training experience

Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

Overview

MAIN OBJECTIVE OF ROLE To define and drive the enterprise strategy for extracting business value from data by leveraging advanced analytics, machine learning, and artificial intelligence to generate insights, develop predictive models, foster AI innovation, and integrate ethical and scalable AI into products, services, and decision-making processes that deliver competitive advantage.

Responsibilities

• Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.
• Drives continuous process improvement and optimization by staying informed about advancements in data engineering and AI, recommending new tools and technologies.
• Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.
• Develops and executes the organization’s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.
• Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.
• Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.
• Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.
• Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.
• Defines KPIs and tracks ROI for AI initiatives to ensure value delivery and continuous improvement.
• Acts as a “data translator,” bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.

Qualifications

• Bachelor's Degree (3+ years)
• Degree in Information Technology, Computer Science, Data Science, or related field
• Fluent in English
• Deep understanding of data governance, compliance, and security best practices. Excellent understanding of machine learning concepts and algorithms. Proven track record of delivering AI solutions from concept to production at enterprise scale. Strong background in statistical modeling, machine learning, deep learning, and AI productization. Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI. Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices.
• Years with qualifications: 10 - 12 years
• Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage

Competencies

• Customer Focus
• Teamwork
• Effective Communication
• Personal Accountability & Commitment to achieve
• Resilience & Flexibility (Can do attitude)
• Decision Making
• Inspiring & Developing Others
• Strategic Thinking
• Business Acumen

ISR REQUIREMENTS

Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.

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