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domain specialist (ai/ml) (consulting & advisory) Jobs in Local Papers Linkedin Ai Business Strategy Jobs In Muscat

domain specialist (ai/ml) (consulting & advisory)

domain specialist ai ml consulting advisory

Norconsult Telematics

<div>
 
 Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Assess the organization&rsquo;s AI readiness and conduct comprehensive maturity evaluations.
 </li>
 <li>
 Identify and prioritize applied AI/ML opportunities across key business domains.
 </li>
 <li>
 Translate organizational challenges into actionable and data-driven AI strategies.
 </li>
 <li>
 Support feasibility studies, ROI analysis, and pilot-level evaluations for AI use cases.
 </li>
 <li>
 Provide insights that guide the development of an enterprise-wide AI adoption roadmap.
 </li>
 <li>
 Strengthen AI governance, ethics, and responsible AI foundations within the organization.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI initiatives with strategic objectives.
 </li>
 <li>
 Facilitate knowledge transfer and ensure clear communication of AI concepts to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Job Description &amp; Responsibilities:
 
 
 <ul>
 <li>
 Conduct AI readiness and maturity assessments covering data, infrastructure, governance, and talent.
 </li>
 <li>
 Identify, analyze, and prioritize applied AI/ML opportunities across organizational functions.
 </li>
 <li>
 Translate business challenges into feasible AI use cases with measurable value and clear outcomes.
 </li>
 <li>
 Perform preliminary research, feasibility studies, and ROI assessments for proposed AI initiatives.
 </li>
 <li>
 Support the design of AI opportunity scoring models and prioritization frameworks.
 </li>
 <li>
 Prepare detailed reports, presentations, and recommendations for leadership and stakeholder review.
 </li>
 <li>
 Work with cross-functional teams to validate use cases and guide early-stage prototyping or pilot evaluations.
 </li>
 <li>
 Advise on AI governance, responsible AI principles, and compliance considerations.
 </li>
 <li>
 Provide conceptual guidance on data preparation, feature analysis, and model evaluation steps.
 </li>
 <li>
 Monitor emerging AI trends&mdash;including GenAI, Agentic AI, and multimodal AI&mdash;to inform strategic decisions.
 </li>
 <li>
 Contribute to the development of the organizational AI roadmap and transformation plans.
 </li>
 <li>
 Engage stakeholders to ensure alignment, clarity, and buy-in on AI initiatives.
 </li>
 <li>
 Support knowledge transfer, capacity building, and AI awareness programs within the organization.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 Minimum 6+ years of experience in AI/ML analysis, strategy, consulting, or advisory roles.
 </li>
 <li>
 Proven experience in identifying, evaluating, and prioritizing AI/ML use cases across business domains.
 </li>
 <li>
 Exposure to digital transformation programs with a focus on AI, data, or analytics components.
 </li>
 <li>
 Familiarity with Responsible AI principles, ethical AI frameworks, and data governance practices.
 </li>
 <li>
 Conceptual understanding of data preparation, feature engineering, and model evaluation methodologies.
 </li>
 <li>
 Ability to conduct feasibility studies and assess ROI for applied AI initiatives.
 </li>
 <li>
 Strong analytical, documentation, and presentation skills for communicating insights to stakeholders.
 </li>
 <li>
 Certifications in AI/ML, Data Science, Cloud AI, or Responsible AI (AWS, Azure, Google, Coursera, etc.).
 </li>
 <li>
 Participation in workshops or training programs related to AI strategy, governance, or ethics.
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Domain Specialist (AI/ML) (Consulting & Advisory)

Novarc

<div>
 
 
 About Novarc
 
 
 
 Novarc is a venture capital firm investing in the technologies, founders, and markets shaping the next era of innovation. We are launching a global network of Technical Advisors to support deal evaluation, technology analysis, and portfolio growth.
 
 
 
 
 
 
 Role Overview
 
 
 
 This is an
 
 
 on-demand advisory position
 
 ,
 
 ideal for experienced operators, engineers, founders, or domain specialists who want to contribute expertise to the next generation of startups.
 
 
 Time commitment is flexible (2&ndash;6 hours/month).
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Join technical deep-dives for due diligence
 </li>
 <li>
 Review architectures, products, and technical claims
 </li>
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 Advise founders on product &amp; tech strategy
 </li>
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 Share insights, market trends, and competitive intelligence
 </li>
 <li>
 Participate in occasional advisor calls or roundtables
 </li>
 </ul>
 
 
 
 
 
 Advisor Expertise Areas
 
 
 
 
 We are specifically seeking experts with backgrounds in:
 
 
 <ul>
 <li>
 AI Engineers
 </li>
 <li>
 ML Researchers
 </li>
 <li>
 LLM Practitioners
 </li>
 <li>
 GPU / Accelerator Specialists
 </li>
 <li>
 Applied AI Product Leads
 </li>
 </ul>
 
 
 (This is a highly selective network of practitioners architecting the backbone of tomorrow&rsquo;s intelligence.)
 
 
 
 
 
 
 
 Compensation
 
 
 <ul>
 <li>
 Advisors are compensated for each engagement they support.
 </li>
 <li>
 Optional carry participation for significant contributions
 </li>
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 (Not a full-time salaried role)
 </li>
 </ul>
 
 
 
 
 
 Who Should Apply
 
 
 <ul>
 <li>
 CTOs, engineers, product leaders
 </li>
 <li>
 Experienced founders
 </li>
 <li>
 Technical operators with domain knowledge
 </li>
 </ul>
 
 
 
</div>

AI Innovation Advisor

Nets-international Communication

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.</li><li>Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.</li><li>Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Collaborate with data engineers to build and maintain data pipelines for training and inference.</li><li>Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring data quality and security.</li><li>Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure model explainability, fairness, and compliance with company and industry standards.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>Proven experience (3+ years) in machine learning, AI model development, and data analytics.</li><li>Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.</li><li>Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.</li><li>Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI ML: 4 years (Required)</li></ul>

AI ML Engineer

<div>
 
 Job Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Identify and evaluate AI and emerging technology use cases across various business domains (IoT, Blockchain, and RPA)
 </li>
 <li>
 Translate organizational goals into measurable AI opportunities with clear KPIs.
 </li>
 <li>
 Prioritize use cases based on strategic value, feasibility, and ROI potential.
 </li>
 <li>
 Conduct business analysis to uncover pain points and areas for digital optimization.
 </li>
 <li>
 Support pilot design, R&amp;D validation, and adoption planning for selected AI initiatives.
 </li>
 <li>
 Define impact frameworks to guide decision-making and resource allocation.
 </li>
 <li>
 Facilitate alignment between stakeholders, technical teams, and leadership.
 </li>
 <li>
 Ensure that use case recommendations support enterprise innovation and transformation goals.
 </li>
 </ul>
 
 
 
 
 
 Job Description &amp; Responsibilities:
 
 
 <ul>
 <li>
 Conduct detailed business analysis to identify AI, automation, and digital transformation opportunities.
 </li>
 <li>
 Gather, validate, and document business requirements through interviews, workshops, and stakeholder assessments.
 </li>
 <li>
 Translate business challenges into well-defined AI/ML use cases with clear KPIs and success criteria.
 </li>
 <li>
 Evaluate feasibility, impact, and ROI for proposed AI, IoT, RPA, and Blockchain initiatives.
 </li>
 <li>
 Map and document AS-IS / TO-BE processes to highlight optimization and automation opportunities.
 </li>
 <li>
 Support the selection and prioritization of pilot use cases using structured evaluation frameworks.
 </li>
 <li>
 Coordinate with architects, data scientists, and technical teams to refine solution scope and assumptions.
 </li>
 <li>
 Prepare executive-level presentations, dashboards, and strategic reports for decision-making.
 </li>
 <li>
 Track pilot progress and participate in post-implementation assessments to measure value delivery.
 </li>
 <li>
 Ensure alignment between business needs, technology capabilities, and organizational strategy.
 </li>
 <li>
 Facilitate stakeholder communication and manage expectations across departments.
 </li>
 <li>
 Contribute to capacity-building efforts through training materials, documentation, and knowledge transfer.
 </li>
 <li>
 Monitor industry trends to identify emerging technologies relevant to business improvement.
 </li>
 <li>
 Support governance activities related to AI, innovation strategy, and digital transformation.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Business Administration, Information Systems, Engineering, or a related field.
 </li>
 <li>
 7+ years of experience as a Business Analyst, Technology Consultant, or in a similar role.
 </li>
 <li>
 Proven experience working on AI, digital transformation, innovation strategy, or emerging technology projects.
 </li>
 <li>
 Strong exposure to both technical and non-technical aspects of AI implementation.
 </li>
 <li>
 Experience in requirements gathering, process mapping (AS-IS/TO-BE), and stakeholder engagement.
 </li>
 <li>
 Demonstrated ability to translate business problems into AI/ML use cases with measurable KPIs.
 </li>
 <li>
 Hands-on experience preparing ROI, feasibility, and impact assessments for digital initiatives.
 </li>
 <li>
 Familiarity with RPA, IoT, Blockchain, and other emerging technologies.
 </li>
 <li>
 Experience collaborating with data teams, architects, and cross-functional stakeholders.
 </li>
 <li>
 Ability to prepare executive-level reports, dashboards, and presentations.
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Expert - Business Analyst (Al/ML) (Consulting & Advisory)

Job Summary We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.Key Responsibilities:<ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Data Center Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

<div>
 
 Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Assess the organization&rsquo;s readiness and maturity for adopting IoT technologies using structured frameworks and scorecards.
 </li>
 <li>
 Identify high-impact IoT opportunities aligned with strategic, operational, and security objectives.
 </li>
 <li>
 Conduct ROI analysis, capability mapping, and technology benchmarking to determine feasibility and value.
 </li>
 <li>
 Evaluate existing systems to identify integration needs, interoperability gaps, and potential enhancements.
 </li>
 <li>
 Ensure all IoT recommendations comply with security, data governance, and sustainability standards.
 </li>
 <li>
 Support the development of enterprise-wide IoT adoption strategies and transformation roadmaps.
 </li>
 <li>
 Provide clear, business-focused insights that guide decision-making for IoT implementations.
 </li>
 <li>
 Collaborate with cross-functional teams to align IoT initiatives with AI, data, and digital transformation goals.
 </li>
 </ul>
 
 
 
 
 
 Job Description &amp; Responsibilities:
 
 
 <ul>
 <li>
 Conduct IoT maturity, readiness, and capability assessments using standardized scorecards and evaluation frameworks.
 </li>
 <li>
 Analyze IoT use cases based on feasibility, performance, ROI, scalability, and alignment with business priorities.
 </li>
 <li>
 Map existing device, edge, and cloud ecosystems to identify gaps and enhancement opportunities.
 </li>
 <li>
 Evaluate IoT architectures including device-to-cloud connectivity, edge processing, and hybrid models.
 </li>
 <li>
 Assess data ingestion, processing, integration, and governance practices for IoT-generated data streams.
 </li>
 <li>
 Prepare detailed assessment reports, technology benchmarking studies, and impact analysis documentation.
 </li>
 <li>
 Review IoT communication protocols such as MQTT, LoRaWAN, OPC-UA, Modbus, and cellular IoT standards.
 </li>
 <li>
 Provide recommendations on IoT security, compliance, interoperability, and lifecycle management.
 </li>
 <li>
 Support teams in designing or validating IoT solutions for smart infrastructure and public-sector initiatives.
 </li>
 <li>
 Collaborate with AI/ML teams to identify opportunities for analytics or automation using IoT data.
 </li>
 <li>
 Participate in stakeholder workshops, requirement-gathering sessions, and capability-building activities.
 </li>
 <li>
 Ensure recommendations consider sustainability, cost-effectiveness, and long-term maintainability.
 </li>
 <li>
 Track global IoT trends, standards, and frameworks to ensure alignment with industry best practices.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Electronics, Telecommunications, or a related technical field.
 </li>
 <li>
 6+ years of experience in IoT consulting, technology assessment, or enterprise IoT strategy roles.
 </li>
 <li>
 Proven experience conducting IoT readiness, maturity, or capability assessments using structured scorecards or frameworks.
 </li>
 <li>
 Hands-on exposure to IoT ecosystems, including sensors, edge devices, connectivity protocols, and cloud/edge integrations.
 </li>
 <li>
 Demonstrated capability in evaluating IoT use cases, analyzing ROI, performance metrics, and operational impact.
 </li>
 <li>
 Familiarity with IoT data workflows, including data collection, integration, processing, and governance.
 </li>
 <li>
 Working knowledge of IoT security practices, device management, and interoperability standards.
 </li>
 <li>
 Experience preparing technology evaluation reports, benchmarking studies, and impact assessments.
 </li>
 <li>
 Exposure to IoT platforms such as Azure IoT, AWS IoT, or private edge computing solutions is preferred.
 </li>
 <li>
 Understanding of public-sector IoT applications, smart infrastructure, or large-scale digital transformation initiatives is an advantage.
 </li>
 <li>
 Certifications: Microsoft Certified: Azure IoT Developer / Architect | AWS IoT Core Practitioner | IoT Security Certification
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Domain Specialist - IoT (Consulting & Advisory)

<div>
 
 Job Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Ensure all AI and advanced technology initiatives adhere to ethical, privacy, and governance standards.
 </li>
 <li>
 Establish and maintain frameworks that support responsible and compliant AI innovation.
 </li>
 <li>
 Develop policies, guidelines, and review mechanisms for technology governance.
 </li>
 <li>
 Oversee ethical risk assessments and impact analyses for AI and emerging technologies.
 </li>
 <li>
 Ensure alignment with data protection regulations and global AI governance standards.
 </li>
 <li>
 Drive sustainability considerations in AI and technology decision-making.
 </li>
 <li>
 Provide expert guidance to internal teams on ethics, privacy, and responsible tech adoption.
 </li>
 <li>
 Facilitate transparent, accountable, and compliant technology practices across the organization.
 </li>
 </ul>
 
 
 
 
 
 Job Descriptions &amp; Responsibilities:
 
 
 <ul>
 <li>
 Review AI and advanced technology initiatives for ethics, privacy compliance, and sustainability.
 </li>
 <li>
 Develop and update policies, frameworks, and guidelines for AI governance and data privacy.
 </li>
 <li>
 Conduct AI risk assessments, impact studies, and mitigation planning.
 </li>
 <li>
 Prepare and submit Technology Ethics Assessment Reports and compliance documentation.
 </li>
 <li>
 Collaborate with Legal, IT, Innovation, and Security teams to ensure unified governance practices.
 </li>
 <li>
 Monitor adherence to data privacy regulations (GDPR, ISO 27701, NDMO).
 </li>
 <li>
 Ensure alignment with AI governance standards such as ISO 42001, EU AI Act, and OECD principles.
 </li>
 <li>
 Support governance and ethics committees with expert evaluation of new technologies.
 </li>
 <li>
 Design and implement compliance and assurance plans for ongoing projects.
 </li>
 <li>
 Develop continuous monitoring mechanisms for responsible AI implementation.
 </li>
 <li>
 Provide guidance on ethical concerns, sustainability considerations, and technology transparency.
 </li>
 <li>
 Engage stakeholders to communicate risks, governance requirements, and policy expectations.
 </li>
 <li>
 Draft reports, documentation, and recommendations for leadership review.
 </li>
 <li>
 Identify gaps in existing governance processes and propose corrective actions.
 </li>
 <li>
 Promote awareness and understanding of responsible AI practices across the organization.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Information Security, Data Management, AI Ethics, Computer Science, or a related field.
 </li>
 <li>
 Minimum 8+ years in data privacy, AI governance, technology ethics, or similar consulting roles.
 </li>
 <li>
 Experience advising on AI, digital transformation, or high-impact technology programs.
 </li>
 <li>
 Strong exposure to government, public-sector, or regulated industry compliance frameworks.
 </li>
 <li>
 Demonstrated ability to develop governance structures, policies, and assurance plans.
 </li>
 <li>
 Experience conducting ethical impact assessments and privacy evaluations.
 </li>
 <li>
 Certification : ISO 42001 (AI Management System) | CIPP/E or CIPM &ndash; Certified Data Privacy Professional | ISO 27001 Lead Auditor / Implementer | Responsible AI / AI Ethics Certification
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Consultant - Data Privacy, Governance & Security (Consulting & Advisory)

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