ai data science expert

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>12/30/2025</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>Key Responsibilities:</b></p><ul><li><p><br>
Design, develop, and deploy <b>AI and machine learning models</b> to support smart city and enterprise use cases.</p></li><li><p><br>
Perform <b>predictive analytics</b> to forecast trends, optimize operations, and support data-driven decision-making.</p></li><li><p><br>
Design and manage <b>city-wide performance dashboards</b> using <b>Power BI, Tableau, or similar BI tools</b>.</p></li><li><p><br>
Integrate data from multiple sources to create unified analytics and reporting platforms.</p></li><li><p><br>
Ensure data quality, governance, and compliance with data protection standards.</p></li><li><p><br>
Collaborate with smart systems, IT, and business stakeholders to translate requirements into analytical solutions.</p></li><li><p><br>
Monitor model performance, continuously improve accuracy, and maintain documentation.</p></li><li><p><br>
Support advanced reporting, visualization, and insights generation for leadership and control centers.</p></li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><p></p><div><b>
Qualification:</b><br>
</div><div>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Statistics, or a related field.</div><p></p><div><b><br>
Experience:</b><br>
</div><div>
Minimum <b>5+ years</b> of experience in <b>AI, data science, and advanced analytics</b>.</div><p></p><p><b><br>
Required Skills &amp; Competencies:</b></p><ul><li><p><br>
Strong expertise in <b>AI/ML modeling and predictive analytics</b></p></li><li><p><br>
Proficiency in <b>Power BI, Tableau</b>, or equivalent visualization tools</p></li><li><p><br>
Experience with data pipelines, data integration, and large datasets</p></li><li><p><br>
Knowledge of statistical analysis, data modeling, and performance KPIs</p></li><li><p><br>
Strong problem-solving, communication, and stakeholder management skills</p></li></ul><p><b><br>
Preferred Certifications (Optional):</b></p><ul><li><p><br>
Microsoft Power BI Data Analyst</p></li><li><p><br>
Data Science or Machine Learning certifications</p></li><li><p><br>
Cloud-based AI certifications (AWS, Azure)</p></li></ul></div></div></div><p></p>

AI & Data Science Expert

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a highly capable expert to join our client for this prestigious assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior AI &amp; Data Scientist
 </p>
 <p>
  Location: Onsite &ndash; Riyadh, Saudi Arabia
 </p>
 <p>
  Experience: 10+ Years
 </p>
 <p>
  Department: Data &amp; AI Department
 </p>
 <p>
  <br/>
 </p>
 <p>
  TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 </p>
 <p>
  libraries (Pandas, NumPy).
 </p>
 <p>
  - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 </p>
 <p>
  Internal Only
 </p>
 <p>
  optimization).
 </p>
 <p>
  - Familiarity with containerized deployments (OpenShift, Docker).
 </p>
 <p>
  - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 </p>
 <p>
  - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 </p>
 <p>
  deployments.
 </p>
 <p>
  - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 </p>
 <p>
  - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 </p>
 <p>
  Consulting &amp; Behavioral Skills
 </p>
 <p>
  - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 </p>
 <p>
  outputs to diverse audiences.
 </p>
 <p>
  - Professional, composed, and business-aware consulting demeanor.
 </p>
 <p>
  - Strong collaboration and documentation discipline within Agile teams.
 </p>
 <p>
  - Demonstrated curiosity and commitment to continuous learning and innovation.
 </p>
 <p>
  - Self-driven, structured, and dependable under PMO governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Master&rsquo;s degree in computer science, Data Science, or related field.
 </p>
 <p>
  - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 </p>
 <p>
  - Prior experience in enterprise or industrial AI projects preferred.
 </p>
 <p>
  - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 </p>
</div>


Data Scientist

Microsoft

<div><b>Overview</b><p><br>
Microsoft Innovation Hub empowers customers to overcome their business challenges through innovative engagements that integrate multiple areas of expertise. We drive AI transformation by leveraging evolving needs and emerging business opportunities. As the future of technologists and enterprise technical sellers, we guide customers from envisioning solutions to implementation. We deliver the Microsoft value story through immersive experiences, strengthening customer trust through deep engagements in exceptional environments.</p><p>
As a Solution Engineer in the Microsoft Innovation Hub, you will merge business and technical requirements to craft comprehensive solutions, working seamlessly with various stakeholders. You will conduct discovery sessions to understand customer needs and provide strategic recommendations and best practices tailored to their specific needs. Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Additionally, you will leverage consultancy skills to foster collaboration among technical resources and stakeholders, ensuring alignment and effective teamwork. This role is Microsoft onsite only.</p><p>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><b><br>
Responsibilities</b><div><ul><li><p><br>
Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices.</p></li></ul></div><div><ul><li><p>
AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively. You will be a valued contributor to Microsoft&rsquo;s strategy in your area, ensuring the Hub is proactively aligned with the right customers to drive real impact.</p></li></ul></div><div><ul><li><p>
Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams.</p></li></ul></div><div><ul><li><p>
Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuing solutions are addressing real customer needs.</p></li></ul></div><div><ul><li><p>
Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation.</p></li></ul></div><div><ul><li><p>
Technical Depth: Maintain and grow expertise in AI solutions that will include services like AI Foundry or Fabric Data platform. Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Stay updated with the market trends and collaborate within technical communities.</p></li></ul></div><div><ul><li><p>
Technical Sales and Sales Leadership: Act as a strategic change agent within the business to shape Microsoft's programs and engineering offerings. Lead the creation of scalable, field-relevant assets through internal communities. Champion Hub engagement success by connecting technical capabilities to sales opportunities and serving as a trusted voice with sales leaders and account teams.</p></li></ul></div><b><br>
Qualifications</b><p><br>
Required (RQs):</p><div><ul><li><p>
Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR 7+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR equivalent experience.</p></li></ul></div><div><p>
Preferred Qualifications (PQs):</p><div><div><ul><li><p>
Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements. Ability to integrate various technologies and platforms to create cohesive and scalable architectures.</p></li></ul></div><div><ul><li><p>
Consultative Selling: Proven experience in a consultancy role, providing expert guidance and strategic recommendations to customers. Ability to navigate complex technical landscapes and deliver tailored solutions that meet specific customer needs.</p></li></ul></div><div><ul><li><p>
Strategic &amp; Structured Facilitator: Validated customer experience in requirements capture; prioritization; capturing evidence and impact to quantify business value; issue, risk and constraint identification with a focus on strategic goals and outcomes.</p></li></ul></div><div><ul><li><p>
AI Solution Design Experience: Expertise in designing architectures, building, and deploying AI solutions. Experience with cloud and hybrid infrastructures, networking, adjacent technologies, architecture designs, migrations, and industry standards. Understanding of AI related Azure services.</p></li><li>
Design Thinking: Proven experience of delivering design thinking; &lsquo;ideation&rsquo;; or similar context analysis / problem framing.</li></ul></div><div><ul><li><p>
Certification in relevant technologies or disciplines</p></li></ul></div><div><ul><li><p>
Azure Certifications :</p></li></ul></div><div><ul><li><ul><li><p>
AI-102 Azure AI Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
AZ-305 Azure Solutions Architect Expert or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
DP-600 Fabric Analytics Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
DP-700 Fabric Data Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
AZ-204 Azure Developer Associate</p></li></ul></li></ul></div></div><div><div><ul><li><p>
or other domain-relevant certifications from different vendors</p></li></ul></div></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Solution Engineering - Innovation Hub

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Microsoft Innovation Hub empowers customers to overcome their business challenges through innovative engagements that integrate multiple areas of expertise. We drive AI transformation by leveraging evolving needs and emerging business opportunities. As the future of technologists and enterprise technical sellers, we guide customers from envisioning solutions to implementation. We deliver the Microsoft value story through immersive experiences, strengthening customer trust through deep engagements in exceptional environments.
 <br/>
 <br/>
 As a Solution Engineer in the Microsoft Innovation Hub, you will merge business and technical requirements to craft comprehensive solutions, working seamlessly with various stakeholders. You will conduct discovery sessions to understand customer needs and provide strategic recommendations and best practices tailored to their specific needs. Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Additionally, you will leverage consultancy skills to foster collaboration among technical resources and stakeholders, ensuring alignment and effective teamwork. This role is Microsoft onsite only.
 <br/>
 <br/>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices.
  </li>
  <li>
   AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively. You will be a valued contributor to Microsoft&rsquo;s strategy in your area, ensuring the Hub is proactively aligned with the right customers to drive real impact.
  </li>
  <li>
   Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams.
  </li>
  <li>
   Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuing solutions are addressing real customer needs.
  </li>
  <li>
   Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation.
  </li>
  <li>
   Technical Depth: Maintain and grow expertise in AI solutions that will include services like AI Foundry or Fabric Data platform. Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Stay updated with the market trends and collaborate within technical communities.
  </li>
  <li>
   Technical Sales and Sales Leadership: Act as a strategic change agent within the business to shape Microsoft's programs and engineering offerings. Lead the creation of scalable, field-relevant assets through internal communities. Champion Hub engagement success by connecting technical capabilities to sales opportunities and serving as a trusted voice with sales leaders and account teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Required (RQs):
 <br/>
 <br/>
 <ul>
  <li>
   Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
  </li>
  <li>
   OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience
  </li>
  <li>
   OR 7+ years technical pre-sales or technical consulting experience
  </li>
  <li>
   OR equivalent experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications (PQs)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements. Ability to integrate various technologies and platforms to create cohesive and scalable architectures.
  </li>
  <li>
   Consultative Selling: Proven experience in a consultancy role, providing expert guidance and strategic recommendations to customers. Ability to navigate complex technical landscapes and deliver tailored solutions that meet specific customer needs.
  </li>
  <li>
   Strategic &amp; Structured Facilitator: Validated customer experience in requirements capture; prioritization; capturing evidence and impact to quantify business value; issue, risk and constraint identification with a focus on strategic goals and outcomes.
  </li>
  <li>
   AI Solution Design Experience: Expertise in designing architectures, building, and deploying AI solutions. Experience with cloud and hybrid infrastructures, networking, adjacent technologies, architecture designs, migrations, and industry standards. Understanding of AI related Azure services.
  </li>
  <li>
   Design Thinking: Proven experience of delivering design thinking; &lsquo;ideation&rsquo;; or similar context analysis / problem framing.
  </li>
  <li>
   Certification in relevant technologies or disciplines
  </li>
  <li>
   Azure Certifications :
  </li>
 </ul>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    AI-102 Azure AI Engineer Associate or
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    AZ-305 Azure Solutions Architect Expert or
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    DP-600 Fabric Analytics Engineer Associate or
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    DP-700 Fabric Data Engineer Associate or
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <li>
 </li>
 <ul>
  <li>
   AZ-204 Azure Developer Associate
  </li>
  <li>
   or other domain-relevant certifications from different vendors
   <br/>
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Artificial Intelligence Global Company

<div>
 <p>
  Artificail Intelegence Global Company is seeking a highly experienced and technically grounded
  <strong>
   AI Lead
  </strong>
  to lead and support client engagements in the
  <strong>
   government, PIF and public sector
  </strong>
  . This role blends
  <strong>
   technical expertise in AI
  </strong>
  with
  <strong>
   consulting acumen and business development capabilities
  </strong>
  , driving strategic initiatives, identifying opportunities, and delivering value-driven solutions to government, PIF and public entities.
 </p>
 <p>
  The ideal candidate will have
  <strong>
   7+ years of experience
  </strong>
  with a solid background in
  <strong>
   AI, machine learning, and data platforms
  </strong>
  , while also being skilled at
  <strong>
   stakeholder engagement, pre-sales, proposal development
  </strong>
  , and
  <strong>
   client delivery
  </strong>
  . This role is pivotal in bridging technical possibilities with public sector needs to ensure effective transformation and value realization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roles &amp; Responsibilities :
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Client Engagement &amp; Consulting:
   </strong>
  </li>
  <li>
   Lead AI and data advisory engagements with public sector clients, understanding their mission objectives and aligning solutions accordingly.
  </li>
  <li>
   Serve as a trusted advisor to senior government stakeholders, presenting technical concepts in business terms.
  </li>
  <li>
   Conduct AI/ML and data maturity assessments, feasibility studies, and roadmap development.
  </li>
  <li>
   <strong>
    Business Development:
   </strong>
  </li>
  <li>
   Support proposal writing and RFI/RFP responses for government tenders.
  </li>
  <li>
   Identify and cultivate opportunities for AI and data engagements within provincial and central government, PIF &amp; public sectors.
  </li>
  <li>
   Collaborate with sales teams and technical teams to tailor solutions that meet client needs and procurement requirements.
  </li>
  <li>
   <strong>
    Solution Architecture &amp; Delivery Oversight:
   </strong>
  </li>
  <li>
   Oversee design and implementation of AI/ML and data solutions tailored for public sector contexts (e.g., compliance, privacy, scalability).
  </li>
  <li>
   Guide data science and engineering teams in creating actionable models and platforms.
  </li>
  <li>
   Leadership &amp; Innovation:
  </li>
  <li>
   Stay abreast of emerging AI technologies, regulatory changes, and government policy trends.
  </li>
  <li>
   Contribute to Proof of Concepts (PoCs) and strategic AI frameworks for public sector transformation.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Education and Qualifications
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Computer Science, Data Science, Engineering, or related field
   </strong>
   . Master&rsquo;s degree preferred.
  </li>
  <li>
   Certifications in cloud platforms (e.g., AWS, Azure, GCP, Huawei, Oracle), AI/ML tools, and project management (e.g., PMP).
  </li>
  <li>
   Familiarity with
   <strong>
    government procurement
   </strong>
   and
   <strong>
    compliance frameworks like SDAIA regulations and NDMO.
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Experience
   </u>
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    12+ years
   </strong>
   of experience in technology consulting and deployment projects, with a focus on
   <strong>
    AI, ML, and data,
   </strong>
   including Advanced Analytics, Business Intelligence (BI), Computer Vision, Natural Language Processing (NLP), Generative AI (GenAI), AI Agents, and other emerging AI technologies
  </li>
  <li>
   Minimum
   <strong>
    5 years
   </strong>
   of client-facing experience in a
   <strong>
    consulting or business development
   </strong>
   capacity.
  </li>
  <li>
   Proven track record of engaging with
   <strong>
    government, PIF, and public sector
   </strong>
   clients.
  </li>
  <li>
   Experience in
   <strong>
    developing proposals
   </strong>
   ,
   <strong>
    responding to RFPs/RFIs
   </strong>
   , and
   <strong>
    managing technical presales cycles
   </strong>
   .
  </li>
  <li>
   Background in delivering or overseeing the delivery of
   <strong>
    AI/ML use cases and projects
   </strong>
   , data analytics platforms, and data governance frameworks.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Competency
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Strong grasp of
   <strong>
    AI/ML algorithms
   </strong>
   ,
   <strong>
    data engineering
   </strong>
   ,
   <strong>
    data architecture
   </strong>
   , and
   <strong>
    MLOps
   </strong>
   .
  </li>
  <li>
   Familiarity with AI technologies and tools (e.g., TensorFlow, PyTorch, scikit-learn, Databricks).
  </li>
  <li>
   Knowledge of
   <strong>
    cloud data platforms
   </strong>
   (e.g., Azure Synapse, AWS Sagemaker, GCP BigQuery).
  </li>
  <li>
   <strong>
    Consulting &amp; Business Development:
   </strong>
   Strong experience in
   <strong>
    client engagement, requirements gathering, solution scoping
   </strong>
   , and
   <strong>
    executive communication
   </strong>
   .
  </li>
  <li>
   Ability to create
   <strong>
    winning proposals
   </strong>
   , present
   <strong>
    value propositions
   </strong>
   , and conduct
   <strong>
    strategic account planning
   </strong>
   .
  </li>
  <li>
   Strategic thinker with a consultative mindset and problem-solving orientation.
  </li>
  <li>
   <strong>
    Sector-Specific Knowledge:
   </strong>
   Understanding of public sector challenges such as
   <strong>
    data privacy, ethics, digital inclusion
   </strong>
   , and
   <strong>
    legacy modernization
   </strong>
   .
  </li>
  <li>
   Familiarity with
   <strong>
    policy-driven AI development
   </strong>
   ,
   <strong>
    regulatory compliance
   </strong>
   , and
   <strong>
    governance frameworks
   </strong>
   .
  </li>
  <li>
   <strong>
    Excellent communication and interpersonal skills
   </strong>
   &ndash; able to influence both technical and non-technical stakeholders.
  </li>
  <li>
   <strong>
    Leadership and mentoring skills
   </strong>
   &ndash; able to guide teams and junior consultants.
  </li>
  <li>
   Strong
   <strong>
    organizational, analytical
   </strong>
   , and
   <strong>
    presentation abilities
   </strong>
   .
  </li>
  <li>
   Willingness to
   <strong>
    travel
   </strong>
   as needed to client sites.
  </li>
 </ul>
 <p>
 </p>
</div>


Artificial Intelligence Practice Lead

COGNNA

<div><p>As a Senior AI Engineer, you will be the primary architect of Cognna&rsquo;s autonomous agent reasoning engine and the high-scale inference infrastructure that powers it. You are responsible for building production-grade reasoning systems that proactively plan, use tools, and collaborate. You will own the full lifecycle of our specialized security models, from domain-specific fine-tuning to architecting distributed, high-throughput inference services that serve as Security-core intelligence in our platform.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><p><b>
1. Agentic Architecture &amp; Multi-Agent Coordination</b></p><ul>
<li>
Autonomous Orchestration: Design stateful, multi-agent systems using frameworks like Google ADK.</li>
<li>Protocol-First Integration: Architect and scale MCP servers and A2A interfaces, ensuring a decoupled and extensible agent ecosystem.</li>
<li>Cognitive Optimization: Develop lean, high-reasoning microservices for deep reasoning, optimizing context token usage to maintain high planning accuracy with minimal latency.</li>
</ul><p><b>
2. Model Adaptation &amp; Performance Engineering</b></p><ul>
<li>
Specialized Fine-Tuning: Lead the architectural strategy for fine-tuning open-source and proprietary models on massive cybersecurity-specific telemetry.</li>
<li>Advanced Training Regimes: Implement Quantization-Aware Training (QAT) and manage Adapter-based architectures to enable the dynamic loading of task-specific specialists without the overhead of full-model swaps.</li>
<li>Evaluation Frameworks: Engineer rigorous, automated evaluation harnesses (including Human annotations and AI-judge patterns) to measure agent groundedness and resilience against the Security Engineer&rsquo;s adversarial attack trees.</li>
</ul><p><b>
3. Production Inference &amp; MLOps at Scale</b></p><ul>
<li>
Distributed Inference Systems: Architect and maintain high-concurrency inference services using engines like vLLM, TGI, or TensorRT-LLM.</li>
<li>Infrastructure Orchestration: Own the GPU/TPU resource management strategy.</li>
<li>Observability &amp; Debugging: Implement deep-trace observability for non-deterministic agentic workflows, providing the visibility needed to debug complex multi-step reasoning failures in production.</li>
</ul><p><b>
4. Advanced RAG &amp; Semantic Intelligence</b></p><ul>
<li>
Hybrid Retrieval Architectures: Design and optimize RAG pipelines involving graph-like data structures, agent-based knowledge retrieval and semantic searches.</li>
<li>Memory Management: Architect episodic and persistent memory systems for agents, allowing for long-running security investigations that persist context across sessions.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
<b>Experience &amp; Education:</b> 5-7+ years in AI/ML Engineering or Backend Systems. Must have contributed to large-scale AI/ML inference service in production. M.S. or B.S. in Computer Science/AI is preferred.</li>
<li><b>Inference Orchestration: </b>KV-cache management, quantization formats like AWQ/FP8, and distributed serving across multi-node GPU clusters).</li>
<li><b>Agentic Development: </b>Expert in building autonomous systems using Google ADK/Langgraph/Langchain and experienced with AI Observervability frameworks like LangSmith or Langfuse. Hands-on experience building AI applications with MCP and A2A protocols.</li>
<li><b>Cloud AI Native: </b>Proficiency in Google Cloud (Vertex AI), including custom training pipelines, high-performance prediction endpoints, and the broader MLOps suite.</li>
<li><b>Programming: </b>Python and experience with high-performance backends (Go/C++) for inference optimization. You are comfortable working in a Kubernetes-native environment.</li>
<li><b>CI/CD: </b>You are comfortable working in a Kubernetes-native environment.</li>
</ul><p><b>
Benefits</b></p><p>
 <b>Competitive Package</b> &ndash; Salary + equity options + performance incentives<br>
 <b>Flexible &amp; Remote</b> &ndash; Work from anywhere with an outcomes-first culture<br>
 <b>Team of Experts</b> &ndash; Work with designers, engineers, and security pros solving real-world problems<br>
 <b>Growth-Focused</b> &ndash; Your ideas ship, your voice counts, your growth matters<br>
 <b>Global Impact</b> &ndash; Build products that protect critical systems and data</p></div>

Senior AI Engineer (Agentic Systems & Inference) - Onsite

Master Works

<div>
 <br/>
 <p>
  <strong>
   Job Title:
  </strong>
  AI Presales Manager
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Riyadh, Saudi Arabia
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  We are seeking a highly skilled and proactive AI Presales Manager to support the sales team in driving business growth. The ideal candidate will act as the technical expert in sales engagements, helping position the right AI solutions for clients, addressing technical queries, and ensuring the delivery of high-quality proposals. This role also involves managing the bidding team to ensure the accuracy and competitiveness of both technical and financial proposals.
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Sales Enablement:
  </li>
  <ul>
   <li>
    Collaborate with the sales team to understand client requirements and business objectives.
   </li>
   <li>
    Recommend and position the most suitable AI solutions (e.g., computer vision, LLMs, speech-to-text) based on client needs.
   </li>
   <li>
    Lead technical presentations, product demos, and proof-of-concepts to clients.
   </li>
   <li>
    Address all client technical questions and concerns during the presales process.
   </li>
  </ul>
  <li>
   Solution Design &amp; Proposal Support:
  </li>
  <ul>
   <li>
    Translate business needs into technical solutions and articulate the value proposition clearly.
   </li>
   <li>
    Customize solution architecture and prepare solution documentation tailored to each opportunity.
   </li>
  </ul>
  <li>
   Bidding &amp; Proposal Management:
  </li>
  <ul>
   <li>
    Manage the end-to-end proposal development process with the bidding team.
   </li>
   <li>
    Ensure all technical and financial components of proposals are accurate, complete, and aligned with client expectations.
   </li>
   <li>
    Review RFPs/RFQs and confirm compliance with submission requirements.
   </li>
  </ul>
  <li>
   Cross-Functional Collaboration:
  </li>
  <ul>
   <li>
    Coordinate with product, engineering, and delivery teams to gather necessary input for proposals and ensure feasibility.
   </li>
   <li>
    Maintain a feedback loop between sales, delivery, and product teams to continuously improve solution offerings.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <p>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Requirements
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   Minimum of 8-10 years in a presales, solution architect, or technical consulting role, preferably in AI or software solutions.
  </li>
  <li>
   Strong understanding of AI technologies such as machine learning, computer vision, NLP, and LLMs.
  </li>
  <li>
   Proven experience in managing technical proposals and complex bid responses.
  </li>
  <li>
   Excellent communication and presentation skills.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
</div>


AI Presales Manager

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Senior AI Engineer (Agentic Systems & Inference) - Onsite

AI Presales Manager