Qureos Mentor

Datamatics Technologies

<div>
 Job Description &ndash; Business Analysis Consultant
 
 
 Position:
 
 Business Analysis Consultant
 
 
 Location:
 
 Onsite
 
 
 Language:
 
 Arabic (Mandatory)
 
 
 Experience:
 
 5+ Years
 
 
 Education:
 
 Bachelor's Degree in Information Technology or equivalent.
 
 Job Summary
 
 We are looking for an experienced Business Analysis Consultant to gather, analyze, and document business requirements while serving as the bridge between business stakeholders and technical teams.
 
 Key Responsibilities
 <ul>
 <li>
 Gather and document business requirements
 </li>
 <li>
 Conduct stakeholder interviews and workshops
 </li>
 <li>
 Prepare BRDs, FRDs, and process documentation
 </li>
 <li>
 Analyze current business processes
 </li>
 <li>
 Recommend process improvements
 </li>
 <li>
 Work closely with development and QA teams
 </li>
 <li>
 Support UAT activities
 </li>
 <li>
 Ensure delivered solutions meet business objectives
 </li>
 </ul>
 Required Skills
 <ul>
 <li>
 Business Process Modeling
 </li>
 <li>
 Requirements Gathering
 </li>
 <li>
 UML/BPMN
 </li>
 <li>
 Documentation
 </li>
 <li>
 Gap Analysis
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Microsoft Visio
 </li>
 <li>
 Agile methodologies
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's Degree in IT or equivalent
 </li>
 <li>
 Minimum 5 years of Business Analysis experience
 </li>
 <li>
 Arabic language proficiency is mandatory
 </li>
 <li>
 Onsite availability
 </li>
 </ul>
</div>

Business Analysis Consultant

<div>
 Job Description: Data Security &amp; Privacy Engineer
 
 
 Job Title:
 
 Data Security &amp; Privacy Engineer
 
 
 Experience:
 
 3&ndash;11+ Years
 
 
 Location:
 
 &nbsp;
 
 Riyadh - Onsite
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 Data Security &amp; Privacy Engineer
 
 with
 
 3&ndash;11+ years of experience
 
 to design, implement, and manage enterprise data security and privacy solutions. The ideal candidate will have strong expertise in identity and access management, data protection technologies, encryption, security monitoring, and privacy controls across cloud environments. This role will be responsible for ensuring the confidentiality, integrity, and availability of enterprise data while supporting regulatory compliance and security best practices.
 
 Key Responsibilities
 <ul>
 <li>
 Design and implement data security and privacy controls across enterprise environments
 </li>
 <li>
 Manage identity and access management (IAM) solutions across cloud platforms
 </li>
 <li>
 Implement data protection strategies including encryption, masking, and data loss prevention
 </li>
 <li>
 Configure and manage security monitoring and threat detection solutions
 </li>
 <li>
 Support security assessments, audits, and compliance initiatives
 </li>
 <li>
 Define and enforce data security policies, standards, and best practices
 </li>
 <li>
 Collaborate with cloud, infrastructure, application, and data teams to secure enterprise data assets
 </li>
 <li>
 Monitor security events, investigate incidents, and support remediation activities
 </li>
 <li>
 Implement secure data handling practices throughout the data lifecycle
 </li>
 <li>
 Support privacy initiatives including sensitive data discovery, classification, and protection
 </li>
 <li>
 Continuously evaluate emerging security threats and recommend improvements
 </li>
 </ul>
 Required Technical SkillsIdentity &amp; Access Management (IAM)
 <ul>
 <li>
 Hands-on experience with
 
 GCP IAM or Azure IAM or AWS IAM
 
 </li>
 <li>
 Strong understanding of identity governance, authentication, authorization, roles, permissions, and access controls
 </li>
 <li>
 Experience implementing least privilege access models and access management best practices
 </li>
 </ul>
 Data Protection &amp; Privacy
 <ul>
 <li>
 Experience with
 
 Data Loss Prevention (DLP)
 
 solutions
 </li>
 <li>
 Strong understanding of data classification, sensitive data protection, and privacy controls
 </li>
 <li>
 Experience implementing data security policies and compliance requirements
 </li>
 </ul>
 Encryption &amp; Key Management
 <ul>
 <li>
 Strong experience with
 
 Encryption and Key Management Services (KMS)
 
 </li>
 <li>
 Knowledge of encryption standards, key lifecycle management, certificate management, and cryptographic best practices
 </li>
 <li>
 Experience securing data at rest, in transit, and during processing
 </li>
 </ul>
 Data Masking &amp; Protection
 <ul>
 <li>
 Experience implementing
 
 Data Masking
 
 techniques for protecting sensitive information
 </li>
 <li>
 Understanding of tokenization, anonymization, and privacy-enhancing technologies
 </li>
 </ul>
 Security Monitoring &amp; SIEM
 <ul>
 <li>
 Hands-on experience with
 
 Splunk or Microsoft Sentinel
 
 for security monitoring and incident detection
 </li>
 <li>
 Experience analyzing security events, alerts, logs, and threat intelligence data
 </li>
 <li>
 Knowledge of SIEM use cases, dashboards, and security investigations
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11+ years
 
 of experience in Data Security, Cloud Security, Information Security, or Privacy Engineering
 </li>
 <li>
 Strong understanding of cloud security principles and enterprise security architecture
 </li>
 <li>
 Excellent analytical, troubleshooting, and communication skills
 </li>
 <li>
 Experience working with cross-functional security and technology teams
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud security frameworks and compliance standards
 </li>
 <li>
 Knowledge of privacy regulations and data protection requirements
 </li>
 <li>
 Familiarity with security automation and incident response processes
 </li>
 <li>
 Experience securing data platforms, analytics environments, and cloud-native applications
 </li>
 <li>
 Security certifications such as CISSP, CCSP, Security+, or cloud security certifications are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud IAM:
 
 
 GCP IAM or Azure IAM or AWS IAM
 
 </li>
 <li>
 
 Data Protection:
 
 DLP
 
 and
 
 Data Classification
 
 and
 
 Privacy Controls
 </li>
 <li>
 
 Encryption &amp; Security:
 
 Encryption
 
 and
 
 KMS
 
 and
 
 Key Lifecycle Management
 </li>
 <li>
 
 Data Privacy:
 
 Data Masking
 
 and
 
 Tokenization
 
 and
 
 Sensitive Data Protection
 </li>
 <li>
 
 Security Monitoring:
 
 
 Splunk or Microsoft Sentinel
 
 </li>
 <li>
 
 Security Operations:
 
 SIEM Monitoring
 
 and
 
 Threat Detection
 
 and
 
 Incident Response
 </li>
 <li>
 
 Cloud Security:
 
 Cloud Security Controls
 
 and
 
 Access Governance
 
 and
 
 Compliance Management
 </li>
 </ul>
</div>

Data Security & Privacy Engineer

<div>
 
 Role Summary
 
 
 We are seeking an experienced
 
 Scrum Master / Agile Coach
 
 to facilitate Agile delivery, foster high-performing teams, and drive continuous improvement across enterprise projects. The ideal candidate will have expertise in Scrum ceremonies, sprint management, impediment resolution, Agile coaching, and stakeholder collaboration to ensure the successful delivery of business and technology initiatives.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Facilitate Scrum ceremonies, including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Sprint Retrospectives
 </li>
 <li>
 Manage sprint planning, execution, and delivery to ensure alignment with business priorities
 </li>
 <li>
 Remove impediments and blockers that impact team productivity and delivery
 </li>
 <li>
 Coach Agile teams, Product Owners, and stakeholders on Scrum principles, Agile practices, and continuous improvement
 </li>
 <li>
 Foster a collaborative, self-organizing, and high-performing team environment
 </li>
 <li>
 Monitor sprint progress, team velocity, and Agile metrics to improve delivery effectiveness
 </li>
 <li>
 Support backlog refinement and ensure user stories are well-defined and prioritized
 </li>
 <li>
 Collaborate with Product Owners, business stakeholders, and technical teams to align project goals and expectations
 </li>
 <li>
 Promote Agile best practices, governance, and delivery standards across multiple teams
 </li>
 <li>
 Identify risks and dependencies, facilitating proactive resolution and stakeholder communication
 </li>
 </ul>
 
 Must-Have Skills
 
 <ul>
 <li>
 Strong experience facilitating
 
 Scrum ceremonies
 
 </li>
 <li>
 Hands-on experience with
 
 Sprint Management
 
 , including planning, execution, tracking, and reporting
 </li>
 <li>
 Proven ability in
 
 Impediment Removal
 
 and risk mitigation
 </li>
 <li>
 Experience providing
 
 Agile Coaching
 
 to Scrum teams, Product Owners, and stakeholders
 </li>
 <li>
 Strong skills in
 
 Stakeholder Alignment
 
 , communication, and expectation management
 </li>
 <li>
 Deep understanding of
 
 Scrum
 
 ,
 
 Agile
 
 ,
 
 Kanban
 
 , and Lean principles
 </li>
 <li>
 Experience using Agile project management tools such as
 
 Jira OR Azure DevOps OR Rally
 
 </li>
 <li>
 Strong facilitation, leadership, conflict resolution, and problem-solving skills
 </li>
 </ul>
 
 Good to Have
 
 <ul>
 <li>
 Experience coaching multiple Agile teams in enterprise environments
 </li>
 <li>
 Familiarity with
 
 SAFe
 
 ,
 
 LeSS
 
 , or
 
 Scrum@Scale
 
 frameworks
 </li>
 <li>
 Experience with Agile metrics, dashboards, and continuous improvement initiatives
 </li>
 <li>
 Knowledge of DevOps and CI/CD practices
 </li>
 <li>
 Experience supporting digital transformation or enterprise modernization programs
 </li>
 <li>
 Scrum certifications such as
 
 PSM
 
 ,
 
 CSM
 
 ,
 
 SAFe Scrum Master
 
 , or equivalent
 </li>
 </ul>
 
 Qualifications
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Information Technology, Business Administration, Project Management, or a related field
 </li>
 <li>
 
 6&ndash;12+ years
 
 of experience in Scrum Master, Agile Coach, Agile Project Management, or Agile Delivery roles
 </li>
 </ul>
 
 Preferred Skills
 
 <ul>
 <li>
 Experience leading Agile transformation initiatives across enterprise organizations
 </li>
 <li>
 Strong stakeholder management and executive communication skills
 </li>
 <li>
 Ability to mentor teams and drive organizational Agile maturity
 </li>
 <li>
 Experience working in cross-functional, distributed, and global teams
 </li>
 <li>
 Passion for continuous improvement, servant leadership, and Agile excellence
 </li>
 </ul>
</div>

Scrum Master / Agile Coach

<div>
 Job Description: Data Science &amp; Analytics Engineer
 
 
 Job Title:
 
 Data Science &amp; Analytics Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are looking for a talented
 
 Data Science &amp; Analytics Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, and deploy predictive and analytical models to solve business problems
 </li>
 <li>
 Perform data exploration, statistical analysis, feature engineering, and model evaluation
 </li>
 <li>
 Build interactive dashboards, reports, and visualizations for business stakeholders
 </li>
 <li>
 Develop scalable data analytics solutions using modern cloud and big data platforms
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
 </li>
 <li>
 Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Ensure data quality, governance, and best practices across analytics initiatives
 </li>
 <li>
 Present analytical findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Continuously improve analytics processes, reporting capabilities, and model performance
 </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
 <li>
 Strong proficiency in
 
 Python or R
 
 for data analysis, statistical modeling, and machine learning
 </li>
 <li>
 Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
 </li>
 </ul>
 Data Science Platforms
 <ul>
 <li>
 Hands-on experience with
 
 Databricks or Dataiku
 
 for data science, machine learning, and collaborative analytics
 </li>
 <li>
 Experience developing end-to-end analytical workflows and model deployment
 </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
 <li>
 Strong experience with
 
 Power BI or Tableau or Looker
 
 for dashboard development and data visualization
 </li>
 <li>
 Ability to create interactive reports and executive-level dashboards
 </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
 <li>
 Experience with
 
 BigQuery or Snowflake
 
 for large-scale analytics and data warehousing
 </li>
 <li>
 Strong understanding of SQL, data modeling, and analytical query optimization
 </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
 <li>
 Experience with statistical analysis, forecasting, classification, clustering, and regression models
 </li>
 <li>
 Familiarity with machine learning libraries and model evaluation techniques
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in Data Science, Business Analytics, or Advanced Analytics
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
 </li>
 <li>
 Knowledge of MLOps, model deployment, and AI-driven analytics
 </li>
 <li>
 Experience with ETL/ELT processes and data engineering concepts
 </li>
 <li>
 Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
 </li>
 <li>
 Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Programming Languages:
 
 
 Python or R
 
 </li>
 <li>
 
 Data Science Platforms:
 
 
 Databricks or Dataiku
 
 </li>
 <li>
 
 Business Intelligence:
 
 
 Power BI or Tableau or Looker
 
 </li>
 <li>
 
 Data Warehouse:
 
 
 BigQuery or Snowflake
 
 </li>
 <li>
 
 Analytics:
 
 Statistical Analysis
 
 and
 
 Predictive Modeling
 
 and
 
 Machine Learning
 
 and
 
 Data Visualization
 </li>
 <li>
 
 Cloud Platforms:
 
 
 AWS or Microsoft Azure or Google Cloud Platform
 
 (Preferred)
 </li>
 </ul>
</div>

Data Science & Analytics Engineer

<div>
 Job Description: AI Product &amp; Business Translation Lead
 
 
 Job Title:
 
 AI Product &amp; Business Translation Lead
 
 
 Experience:
 
 9&ndash;12+ Years
 
 
 Location:&nbsp;
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking an experienced
 
 AI Product &amp; Business Translation Lead
 
 with
 
 9&ndash;12+ years of experience
 
 to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations.
 
 
 This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes.
 
 Key Responsibilities
 <ul>
 <li>
 Define and prioritize AI use cases aligned with business objectives and strategic goals
 </li>
 <li>
 Develop AI product strategies, roadmaps, and adoption frameworks
 </li>
 <li>
 Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities
 </li>
 <li>
 Translate business requirements into actionable AI solutions and product initiatives
 </li>
 <li>
 Evaluate AI opportunities based on business value, feasibility, scalability, and impact
 </li>
 <li>
 Drive stakeholder engagement across business and technology teams
 </li>
 <li>
 Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies
 </li>
 <li>
 Define success metrics and KPIs for AI product initiatives
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders
 </li>
 <li>
 Support governance, prioritization, and lifecycle management of AI solutions
 </li>
 <li>
 Identify industry trends and emerging AI capabilities to recommend strategic opportunities
 </li>
 </ul>
 Required Technical &amp; Business SkillsAI Use Case Strategy
 <ul>
 <li>
 Strong experience in
 
 AI use case definition
 
 and identification of business opportunities for AI adoption
 </li>
 <li>
 Ability to evaluate AI feasibility, business impact, and implementation roadmap
 </li>
 <li>
 Experience translating AI capabilities into practical business solutions
 </li>
 </ul>
 Product Strategy &amp; Management
 <ul>
 <li>
 Strong experience in
 
 AI product strategy
 
 and roadmap development
 </li>
 <li>
 Experience defining product vision, priorities, success metrics, and adoption strategies
 </li>
 <li>
 Understanding of product lifecycle management and digital transformation initiatives
 </li>
 </ul>
 Stakeholder Engagement
 <ul>
 <li>
 Proven experience managing
 
 stakeholder engagement
 
 across business, technology, and executive teams
 </li>
 <li>
 Ability to communicate complex AI concepts to technical and non-technical audiences
 </li>
 <li>
 Experience facilitating workshops, discovery sessions, and executive discussions
 </li>
 </ul>
 AI Adoption &amp; Change Enablement
 <ul>
 <li>
 Experience driving
 
 AI adoption
 
 across organizations
 </li>
 <li>
 Ability to develop adoption frameworks, training strategies, and business enablement plans
 </li>
 <li>
 Understanding of organizational change management principles
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field
 </li>
 <li>
 
 9&ndash;12+ years
 
 of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles
 </li>
 <li>
 Strong understanding of AI/ML concepts and enterprise AI adoption challenges
 </li>
 <li>
 Excellent leadership, communication, and stakeholder management skills
 </li>
 <li>
 Proven ability to manage cross-functional initiatives and deliver business outcomes
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products
 </li>
 <li>
 Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services
 </li>
 <li>
 Experience in enterprise transformation programs and innovation initiatives
 </li>
 <li>
 Familiarity with AI governance, responsible AI practices, and risk management
 </li>
 <li>
 Experience working in Agile product development environments
 </li>
 </ul>
 Key Capability Areas
 <ul>
 <li>
 
 AI Strategy:
 
 AI Use Case Definition
 
 and
 
 AI Opportunity Assessment
 
 and
 
 Business Value Mapping
 </li>
 <li>
 
 Product Management:
 
 Product Strategy
 
 and
 
 AI Roadmap Development
 
 and
 
 Adoption Planning
 </li>
 <li>
 
 Stakeholder Management:
 
 Executive Engagement
 
 and
 
 Cross-functional Collaboration
 
 and
 
 Business-Technology Alignment
 </li>
 <li>
 
 AI Adoption:
 
 Change Enablement
 
 and
 
 User Adoption Strategy
 
 and
 
 AI Transformation Initiatives
 </li>
 <li>
 
 Business Translation:
 
 Translating AI Capabilities
 
 and
 
 Driving Measurable Business Outcomes
 
 and
 
 Strategic Decision Support
 </li>
 </ul>
</div>

AI Product & Business Translation Lead

<div>
 Job Description: AI / ML Engineer
 
 
 Job Title:
 
 AI / ML Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 &nbsp;
 
 
 Riyadh (Onsite)
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 AI / ML Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
 </li>
 <li>
 Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
 </li>
 <li>
 Develop Generative AI and LLM-powered applications using modern AI frameworks
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
 </li>
 <li>
 Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
 </li>
 <li>
 Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
 </li>
 <li>
 Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
 </li>
 <li>
 Stay current with advancements in AI, machine learning, and cloud AI services
 </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
 <li>
 Hands-on experience with
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 Experience with
 
 Azure OpenAI or AWS Bedrock
 
 for Generative AI solutions
 </li>
 <li>
 Experience with
 
 BigQuery ML and Dataflow
 
 for data processing and machine learning workflows
 </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning solutions using
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
 </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
 <li>
 Experience with
 
 Hugging Face and LangChain
 
 for building LLM-powered applications
 </li>
 <li>
 Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
 </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
 <li>
 Experience with
 
 Databricks
 
 for data engineering, model development, and analytics workflows
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering, and large-scale data processing
 </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
 <li>
 Experience deploying machine learning models into production
 </li>
 <li>
 Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in AI, Machine Learning, or Data Science
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Experience working in Agile development environments
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with Large Language Models (LLMs) and Generative AI applications
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
 </li>
 <li>
 Experience with distributed model training and cloud-native AI architectures
 </li>
 <li>
 Cloud certifications in AWS, Azure, or Google Cloud are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud AI:
 
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 
 Generative AI:
 
 
 Azure OpenAI or AWS Bedrock
 
 
 and
 
 Large Language Models (LLMs)
 </li>
 <li>
 
 Data Processing:
 
 
 BigQuery ML and Dataflow
 
 
 and
 
 Databricks
 </li>
 <li>
 
 Programming:
 
 Python
 </li>
 <li>
 
 Machine Learning Frameworks:
 
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 
 LLM Frameworks:
 
 
 Hugging Face or LangChain
 
 </li>
 <li>
 
 MLOps:
 
 Docker
 
 and
 
 Kubernetes
 
 and
 
 CI/CD (Preferred)
 </li>
 </ul>
</div>

AI / ML Engineer

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
 <li>
 
 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
 <li>
 
 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
 <li>
 
 Design and propose robust, enterprise-grade architectural improvements
 
 </li>
 <li>
 
 Define target-state architectures aligned with long-term business and AI strategy
 
 </li>
 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
 <li>
 
 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
 </li>
 <li>
 
 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
 </li>
 <li>
 
 Define standards for system interoperability, resilience, and observability
 
 </li>
 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
 </li>
 <li>
 
 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
 </li>
 <li>
 
 Ensure architectures support model lifecycle management, scalability, and performance
 
 </li>
 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
 </li>
 <li>
 
 Provide high-level design documentation, reference architectures, and technical blueprints
 
 </li>
 <li>
 
 Support roadmap definition and continuous architectural evolution
 
 </li>
 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
 </li>
 <li>
 
 Distributed storage platforms
 
 </li>
 <li>
 
 Low-latency analytical databases
 
 </li>
 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
 </li>
 <li>
 
 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
 <li>
 
 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
 </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
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 <li>
 
 Experience in regulated or large enterprise environments
 
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 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
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 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
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AI Architect

Join Datamatics Technologies and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.