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software engineer (product), international public sector Jobs in Doha

software engineer (product), international public sector

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machine learning engineer, international public sector Jobs in Doha

machine learning engineer, international public sector

machine learning engineer international public sector

Scale AI

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 <br/>
 <br/>
 <ul>
  <li>
   Creating custom AI applications that will impact millions of citizens
  </li>
  <li>
   Generating high-quality training data for national LLMs
  </li>
  <li>
   Upskilling and advisory services to spread the impact of AI
   <br/>
   <br/>
  </li>
 </ul>
 We are hiring multiple Machine Learning Engineers who will leverage the latest research to design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients.
 <br/>
 <br/>
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 <strong>
  You will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with public sector counterparts to deeply understand their challenges
  </li>
  <li>
   Apply the latest research as you design custom models or chains of models
  </li>
  <li>
   Collaborate closely with our data annotation teams to create high-quality training datasets
  </li>
  <li>
   Train, optimize, and deploy models into challenging production environments
  </li>
  <li>
   Develop and maintain robust evaluation systems
  </li>
  <li>
   Participate in customer engagements, including occasional travel (approximately one week per quarter)
  </li>
  <li>
   Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, you&rsquo;d have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
  </li>
  <li>
   Master&rsquo;s or equivalent work experience
  </li>
  <li>
   Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to haves:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working at a startup
  </li>
  <li>
   Experience dealing with large-scale AI problems
  </li>
  <li>
   Strong written and verbal communication skills to operate in a cross-functional team environment
  </li>
  <li>
   Proficiency in Arabic (if focused on language models)
  </li>
  <li>
   Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


Machine Learning Engineer, International Public Sector

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p>
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for national LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
<div>We are hiring multiple Machine Learning Engineers who will leverage the latest research to design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients.</div>
<div>
At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.</div>
<div><b>
You will:</b></div>
<ul>
<li>Partner with public sector counterparts to deeply understand their challenges</li>
<li>Apply the latest research as you design custom models or chains of models</li>
<li>Collaborate closely with our data annotation teams to create high-quality training datasets</li>
<li>Train, optimize, and deploy models into challenging production environments</li>
<li>Develop and maintain robust evaluation systems</li>
<li>Participate in customer engagements, including occasional travel (approximately one week per quarter)</li>
<li>Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing</li>
</ul>
<div><b>Ideally, you&rsquo;d have:</b></div>
<ul>
<li>5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment</li>
<li>Master&rsquo;s or equivalent work experience</li>
<li>Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar</li>
</ul>
<div><b>Nice to haves:</b></div>
<ul>
<li>Experience working at a startup</li>
<li>Experience dealing with large-scale AI problems</li>
<li>Strong written and verbal communication skills to operate in a cross-functional team environment</li>
<li>Proficiency in Arabic (if focused on language models)</li>
<li>Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.</li>
</ul><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p>
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for national LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
<div>We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.</div>
<div>
At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.</div>
<div><b>
You will:</b></div>
<ul>
<li>Partner with public sector clients to deeply understand their challenges and define AI-driven solutions</li>
<li>Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models</li>
<li>Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets</li>
<li>Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models</li>
<li>Participate in customer engagements, including occasional travel (approximately two weeks per quarter)</li>
<li>Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing</li>
</ul>
<div><b>Ideally you&rsquo;d have:</b></div>
<ul>
<li>A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>
<li>7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.</li>
<li>2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines</li>
<li>Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)</li>
<li>Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets</li>
<li>Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment</li>
</ul>
<div><b>Nice to haves:</b></div>
<ul>
<li>Experience working at a startup, particularly as founding engineer</li>
<li>Experience building and deploying large-scale AI solutions</li>
<li>Strong written and verbal communication skills to operate in a cross-functional team environment</li>
<li>Proficiency in Arabic (if focused on language models)</li>
</ul><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Applied AI Engineer, International Public Sector

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p>
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for custom LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
<div>As a Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications to solve their most pressing challenges and achieve meaningful impact for citizens.</div>
<div>
At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.</div>
<div><b>
You will:</b></div>
<ul>
<li>Partner with public sector clients to deeply understand their challenges and define AI-driven solutions</li>
<li>Scope and implement comprehensive solutions to ambiguous customer problems</li>
<li>Build and maintain end-to-end web applications using modern frameworks and technologies.</li>
<li>Leverage database systems to manage and query data efficiently</li>
<li>Deploy and manage infrastructure on cloud service environments for scalability and reliability</li>
<li>Build customer facing products and integrate with AI models to deliver intelligent and interactive user experiences</li>
<li>Work cross-functionally with design, product, and data teams to create robust applications</li>
<li>Spend significant time onsite with clients, including traveling up to 1-2 weeks per month as needed</li>
</ul>
<div><b>Ideally you&rsquo;d have:</b></div>
<ul>
<li>A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>
<li>5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in Python, Node, React, Next.js, TypeScript/JavaScript, or similar</li>
<li>Can-do attitude with a good handle on infrastructure and system design</li>
<li>Experience working directly with customers and within customer infrastructure</li>
</ul>
<div><b>Nice to haves:</b></div>
<ul>
<li>Proficient in Arabic</li>
<li>Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role</li>
<li>Experience working cross functionally with operations</li>
<li>Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape</li>
</ul><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Software Engineer (Forward Deployed), International Public Sector

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Overview:
  </strong>
 </p>
 <p>
  We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
  <strong>
  </strong>
 </p>
 <p>
  This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Data Strategy &amp; Advisory
  </strong>
 </p>
 <ul>
  <li>
   Develop and implement enterprise-wide data and AI strategies aligned with business goals.
  </li>
  <li>
   Assess organizational data &amp; AI maturity and define transformation roadmaps.
  </li>
  <li>
   Advise clients on data lifecycle management, and responsible AI adoption.
  </li>
  <li>
   Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2. Data Architecture &amp; Engineering
  </strong>
 </p>
 <ul>
  <li>
   Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
  </li>
  <li>
   Develop conceptual, logical, and physical data models for operational and analytical use cases.
  </li>
  <li>
   Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
  </li>
  <li>
   Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
  </li>
  <li>
   Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3. AI &amp; Advanced Analytics
  </strong>
 </p>
 <ul>
  <li>
   Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
  </li>
  <li>
   Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
  </li>
  <li>
   Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
  </li>
  <li>
   Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
  </li>
  <li>
   Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   4. Consulting, Pre-Sales &amp; Thought Leadership
  </strong>
 </p>
 <ul>
  <li>
   Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
  </li>
  <li>
   Support proposal development, client demos, and design of value-driven use cases.
  </li>
  <li>
   Contribute to thought leadership through whitepapers, blogs, and conference presentations.
  </li>
  <li>
   Mentor junior consultants and foster a culture of learning and innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 </p>
 <p>
  5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 </p>
 <p>
  Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 </p>
 <p>
  Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise (Candidates should have expertise in one or more domains)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   A. Data Management
  </strong>
 </p>
 <ul>
  <li>
   Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
  </li>
  <li>
   Proficiency in SQL, Python, and Spark.
  </li>
  <li>
   Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
  </li>
  <li>
   Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   B. Data Governance &amp; Strategy
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
  </li>
  <li>
   Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
  </li>
  <li>
   Understanding of global data privacy and sovereignty laws.
  </li>
  <li>
   Ability to define data governance operating models and stewardship structures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   C. AI/ML Engineering
  </strong>
 </p>
 <ul>
  <li>
   Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
  </li>
  <li>
   Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
  </li>
  <li>
   Strong understanding of MLOps pipelines and model lifecycle automation.
  </li>
  <li>
   Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Strong client-facing communication and stakeholder management.
 </p>
 <p>
  Ability to translate technical insights into business outcomes.
 </p>
 <p>
  Experience in pre-sales engagements, proposals, and workshops.
 </p>
 <p>
  Leadership in mentoring teams and driving delivery excellence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications (Preferred)
  </strong>
 </p>
 <p>
  Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 </p>
 <p>
  DAMA Certified Data Management Professional (CDMP) or equivalent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location &amp; Travel
  </strong>
 </p>
 <p>
  Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 </p>
</div>


Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

RITS

<p><b>Machine Learning Engineer</b></p><p><b>Role Summary:</b><br/>Responsible for designing, developing, and deploying machine learning models and data-driven solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Build, train, and optimize ML models and algorithms.</li><li>Work with large datasets, preprocessing, feature engineering, and data pipelines.</li><li>Deploy ML models into production environments.</li><li>Collaborate with data engineers, software developers, and product teams.</li><li>Monitor model performance and retrain when required.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>Strong knowledge of Python, TensorFlow/PyTorch, Scikit-learn.</li><li>Experience with APIs, model deployment, and cloud platforms (AWS/Azure/GCP).</li><li>Good understanding of statistics, NLP, or computer vision (optional).</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>What is your expected salary?</li><li>What is your earliest availability to join?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Machine Learning Engineer: 3 years (Preferred)</li><li>knowledge of Python, TensorFlow/PyTorch, Scikit-learn: 2 years (Preferred)</li></ul><p>Location:</p><ul><li>Doha (Required)</li></ul>

Machine Learning Engineer

COZMALABS

<p>We are looking for an experienced AI Engineer to develop, implement, and optimize AI models and algorithms. The ideal candidate will have a strong background in machine learning, data science, and software engineering. As a remote AI Engineer, you'll work closely with cross-functional teams to design and deploy AI solutions that address complex challenges and deliver impactful results.</p><p><b>Key Responsibilities:</b></p><ul><li><b>AI Model Development:</b> Design, build, and refine machine learning models and algorithms to solve specific problems.</li><li><b>Data Analysis:</b> Analyze and preprocess large datasets to extract meaningful insights and features for model training.</li><li><b>Collaboration:</b> Work with product managers, data scientists, and software engineers to integrate AI solutions into products and services.</li><li><b>Performance Optimization:</b> Monitor, evaluate, and improve the performance of AI models through rigorous testing and tuning.</li><li><b>Research &amp; Innovation:</b> Stay up-to-date with the latest advancements in AI and machine learning, and apply cutting-edge techniques to our projects.</li><li><b>Documentation:</b> Create and maintain comprehensive documentation for models, algorithms, and workflows.</li><li><b>Support &amp; Maintenance:</b> Provide ongoing support for deployed AI systems, addressing issues and implementing improvements as needed.</li></ul><p><b>Qualifications:</b></p><ul><li><b>Education:</b> Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.</li><li><b>Experience:</b> Proven experience in AI/ML engineering, with a strong portfolio of projects or publications.</li><li><b>Skills:</b> Proficiency in programming languages such as Python, Java, or C++. Experience with AI frameworks like TensorFlow, PyTorch, or Keras.</li><li><b>Knowledge:</b> Solid understanding of machine learning algorithms, deep learning, natural language processing, and computer vision.</li><li><b>Tools:</b> Familiarity with data manipulation tools (e.g., Pandas, NumPy) and cloud platforms (e.g., AWS, Google Cloud, Azure).</li><li><b>Soft Skills:</b> Excellent problem-solving abilities, strong analytical skills, and effective communication skills. Ability to work independently and manage multiple projects in a remote environment.</li></ul><p>Job Type: Full-time</p>

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