electrical engineer

civil engineer

project engineer

planning engineer

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ai engineer

Mogi I/O

<br>Job Title<br>AI Engineer   Rust and Repos (3 Months Contract)   Remote<br>Job Description<br>AI Engineer   Rust and Repos (3 Months Contract)   Remote<br> <br>Role Summary<br>We are seeking an experienced AI Engineer specializing in Rust and GitHub repository management for a 3-month remote contract. You will work on building and validating high-quality datasets for training and evaluating Large Language Models (LLMs) using real-world open-source projects. This role combines hands-on coding, environment setup, and AI-driven testing, offering a unique opportunity to work at the intersection of software engineering and artificial intelligence.<br> <br>Job Details<br>Job Location: Remote (Dubai-based operations)<br>Industry: Information Technology and Services<br>Function: Software Engineering / Development<br>Job Type: Contract (3 months, hourly-based, no paid leaves or benefits)<br> <br>Position Overview<br>As an AI Engineer, you will collaborate with researchers to identify suitable GitHub repositories, configure execution environments, validate bug-fix performance, and support AI model testing. Strong expertise in Rust, CI/CD pipelines, and open-source workflows is essential.<br> <br>What You ll Do<br> <br>* Identify and triage trending GitHub issues suitable for AI model evaluation.<br>* Set up and configure development environments using Docker and similar tools.<br>* Evaluate and maintain code quality, functionality, and unit test coverage.<br>* Modify and run repositories to test AI-driven bug fixes and improvements.<br>* Work closely with AI researchers to select repositories for experimental use cases.<br>* (Optional) Guide junior engineers and ensure timely delivery of project tasks.<br> <br>Ideal Profile<br> <br>* 3 4+ years of professional Rust development experience.<br>* Strong understanding of Git, GitHub workflows, Docker, and CI/CD pipelines.<br>* Hands-on experience debugging and running complex, real-world codebases locally.<br>* Exposure to AI/ML workflows and interest in LLM applications is a plus.<br>* Excellent problem-solving and communication skills, capable of working independently.<br><br>

AI Engineer

steadfast group

<p>We are seeking an experienced and innovative AI Engineer to design, build, and deploy AI-driven solutions that enhance business operations and customer experience. The ideal candidate will have expertise in machine learning, natural language processing, and automation systems, with hands-on experience in developing and integrating AI models into production environments.</p><p>Key Responsibilities</p><p>Design, develop, and deploy AI/ML models and algorithms for business applications.</p><p>Build and maintain data pipelines for model training and validation.</p><p>Collaborate with software engineers, data scientists, and business teams to integrate AI capabilities into products and systems.</p><p>Apply deep learning, NLP, and computer vision techniques to solve real-world problems.</p><p>Optimize models for scalability, performance, and efficiency.</p><p>Analyze datasets to identify trends, anomalies, and predictive opportunities.</p><p>Stay updated with emerging AI technologies, frameworks, and best practices.</p><p>Prepare technical documentation and participate in project planning and progress reporting.</p><p>Ensure compliance with data security, governance, and ethical AI standards.</p><p>Desired Profile</p><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</p><p>3&ndash;6 years of experience in AI/ML model development, preferably within the UAE or GCC region.</p><p>Strong programming skills in Python and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, and OpenCV.</p><p>Experience with cloud-based AI environments (AWS SageMaker, Google Vertex AI, Azure ML).</p><p>Solid understanding of data preprocessing, model evaluation, and deployment.</p><p>Familiarity with MLOps pipelines and version control tools (Git, Docker).</p><p>Excellent problem-solving, analytical, and teamwork skills.</p><p>Salary AED20000 to AED30000</p><p>Job Type: Full-time</p><p>Pay: AED20,000.00 - AED30,000.00 per month</p>

DarGlobal

<div>
 <p>
  We are seeking an innovative
  <strong>
   AI Engineer / Data Scientist
  </strong>
  to lead the development and implementation of
  <strong>
   AI-driven tools and systems across the enterprise
  </strong>
  . The ideal candidate will combine deep technical expertise in
  <strong>
   machine learning, large language models (LLMs), and data analytics
  </strong>
  with a strategic understanding of how to embed AI capabilities within business processes.
 </p>
 <p>
  This role will drive the adoption of AI technologies across departments&mdash;enabling automation, improving decision-making, and fostering a data-first culture throughout the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Enterprise AI Implementation
  </strong>
 </p>
 <ul>
  <li>
   Lead the design, development, and deployment of
   <strong>
    AI and automation tools
   </strong>
   across multiple business functions (marketing, sales, finance, operations, and customer experience).
  </li>
  <li>
   Collaborate with stakeholders to identify
   <strong>
    high-impact AI opportunities
   </strong>
   and develop scalable solutions.
  </li>
  <li>
   Build and manage
   <strong>
    AI platforms and internal tools
   </strong>
   that enhance productivity and decision-making across teams.
  </li>
  <li>
   Integrate AI capabilities (e.g., LLM-based assistants, chatbots, predictive analytics, generative content tools) into existing enterprise systems such as
   <strong>
    CRM, ERP, and data platforms
   </strong>
   .
  </li>
  <li>
   Establish
   <strong>
    best practices for AI governance, model lifecycle management, and ethical AI usage
   </strong>
   across the organization.
  </li>
 </ul>
 <p>
  <strong>
   AI &amp; Machine Learning Development
  </strong>
 </p>
 <ul>
  <li>
   Research, build, and deploy models for
   <strong>
    predictive analytics, natural language processing (NLP), computer vision, and recommendation systems
   </strong>
   .
  </li>
  <li>
   Develop APIs and microservices to operationalize ML models within production environments.
  </li>
  <li>
   Ensure solutions are
   <strong>
    scalable, secure, and compliant
   </strong>
   with enterprise data policies.
  </li>
 </ul>
 <p>
  <strong>
   Data Science &amp; Analytics
  </strong>
 </p>
 <ul>
  <li>
   Lead efforts in
   <strong>
    data collection, transformation, and feature engineering
   </strong>
   to support analytical models.
  </li>
  <li>
   Create
   <strong>
    dashboards and AI-powered insights tools
   </strong>
   to enable real-time decision support for leadership teams.
  </li>
  <li>
   Work with data engineering teams to maintain
   <strong>
    clean, consistent, and high-quality data pipelines
   </strong>
   .
  </li>
 </ul>
 <p>
  <strong>
   Cross-Functional Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Partner with IT, digital transformation, and business units to align AI initiatives with enterprise goals.
  </li>
  <li>
   Conduct workshops and training to
   <strong>
    build AI literacy
   </strong>
   and encourage adoption across non-technical departments.
  </li>
  <li>
   Communicate insights and technical findings clearly to stakeholders at all levels.
  </li>
 </ul>
 <p>
  <strong>
   Research &amp; Innovation
  </strong>
 </p>
 <ul>
  <li>
   Continuously evaluate and implement the latest
   <strong>
    AI and automation platforms
   </strong>
   (e.g., OpenAI, Anthropic, Azure AI, Hugging Face, DataRobot).
  </li>
  <li>
   Explore opportunities for
   <strong>
    AI-driven business process reengineering
   </strong>
   and new product innovation.
  </li>
  <li>
   Stay ahead of trends in
   <strong>
    LLMs, multimodal AI, generative AI, and cognitive automation
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in
   <strong>
    Computer Science, Artificial Intelligence, Data Science, or related fields
   </strong>
   .
  </li>
  <li>
   PhD preferred but not required.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong proficiency in
   <strong>
    Python
   </strong>
   (pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
  </li>
  <li>
   Experience implementing enterprise AI solutions using
   <strong>
    OpenAI API, LangChain, Azure AI, Hugging Face, or similar frameworks
   </strong>
   .
  </li>
  <li>
   Expertise in
   <strong>
    machine learning deployment
   </strong>
   and
   <strong>
    MLOps
   </strong>
   (Docker, MLflow, CI/CD pipelines).
  </li>
  <li>
   Experience with
   <strong>
    cloud AI environments
   </strong>
   (AWS SageMaker, Azure ML, Google Vertex AI).
  </li>
  <li>
   Familiarity with
   <strong>
    data platforms
   </strong>
   (Snowflake, Databricks, Power BI, BigQuery).
  </li>
  <li>
   Understanding of
   <strong>
    AI ethics, security, and compliance frameworks
   </strong>
   .
  </li>
 </ul>
 <p>
 </p>
</div>


AI Engineer / Data Scientist

<br> <b><br>Job Details</b><br>Job Location: Remote (Dubai-based operations)<br>Industry: Information Technology and Services<br>Function: Software Engineering / Development<br>Job Type: Contract (3 months, hourly-based, no paid leaves or benefits)<br> <br>Position Overview<br>As an AI Engineer, you will collaborate with researchers to identify suitable GitHub repositories, configure execution environments, validate bug-fix performance, and support AI model testing. Strong expertise in Rust, CI/CD pipelines, and open-source workflows is essential.<br> <br>What You ll Do<br> <br>* Identify and triage trending GitHub issues suitable for AI model evaluation.<br>* Set up and configure development environments using Docker and similar tools.<br>* Evaluate and maintain code quality, functionality, and unit test coverage.<br>* Modify and run repositories to test AI-driven bug fixes and improvements.<br>* Work closely with AI researchers to select repositories for experimental use cases.<br>* (Optional) Guide junior engineers and ensure timely delivery of project tasks.<br> <br>Ideal Profile<br> <br>* 3 4+ years of professional Rust development experience.<br>* Strong understanding of Git, GitHub workflows, Docker, and CI/CD pipelines.<br>* Hands-on experience debugging and running complex, real-world codebases locally.<br>* Exposure to AI/ML workflows and interest in LLM applications is a plus.<br>* Excellent problem-solving and communication skills, capable of working independently.<br> <br><br>

AI Engineer Rust and Repo

<br><b>Job Details</b><br>Job Location: Remote (Dubai-based operations)<br>Industry: Information Technology and Services<br>Function: Software Engineering / Development<br>Job Type: Contract (3 months, hourly-based, no paid leaves or benefits)<br> <br>Position Overview<br>As an AI Engineer, you will collaborate with researchers to identify suitable GitHub repositories, configure execution environments, validate bug-fix performance, and support AI model testing. Strong expertise in Rust, CI/CD pipelines, and open-source workflows is essential.<br> <br>What You ll Do<br> <br>* Identify and triage trending GitHub issues suitable for AI model evaluation.<br>* Set up and configure development environments using Docker and similar tools.<br>* Evaluate and maintain code quality, functionality, and unit test coverage.<br>* Modify and run repositories to test AI-driven bug fixes and improvements.<br>* Work closely with AI researchers to select repositories for experimental use cases.<br>* (Optional) Guide junior engineers and ensure timely delivery of project tasks.<br> <br>Ideal Profile<br> <br>* 3 4+ years of professional Rust development experience.<br>* Strong understanding of Git, GitHub workflows, Docker, and CI/CD pipelines.<br>* Hands-on experience debugging and running complex, real-world codebases locally.<br>* Exposure to AI/ML workflows and interest in LLM applications is a plus.<br>* Excellent problem-solving and communication skills, capable of working independently.<br> <br><br>

AI Engineer Rust and Repos

myZoi

<p><strong>AI Agent Design &amp; Development</strong></p>
<ul>
<li>Design and deploy intelligent agents for multi-step, autonomous workflows.</li>
<li>Implement reasoning, memory, and decision-making in agent orchestration.</li>
<li>Develop reusable templates and agent patterns for common automation use cases.</li>
<li>Integrate human-in-the-loop and feedback mechanisms where needed.</li>
</ul>
<p><strong>Agent Frameworks &amp; Orchestration</strong></p>
<ul>
<li>Build with frameworks like LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel.</li>
<li>Extend framework capabilities with custom agent components.</li>
<li>Implement task delegation, coordination, and version control for agent behavior.</li>
</ul>
<p><strong>RAG &amp; Knowledge Integration</strong></p>
<ul>
<li>Develop RAG pipelines for context-aware decision-making.</li>
<li>Optimize chunking, embedding, and search strategies using vector DBs (e.g., Pinecone, Weaviate).</li>
<li>Integrate enterprise knowledge from Jira, Confluence, documentation, and more.</li>
</ul>
<p><strong>Tool &amp; API Integration</strong></p>
<ul>
<li>Enable agents to interact with AWS, Atlassian Cloud, and internal APIs.</li>
<li>Build tool interfaces for agents to query databases, perform actions, and access services securely.</li>
</ul>
<p><strong>Multi-Agent Systems</strong></p>
<ul>
<li>Orchestrate collaborative agents (e.g., planner, executor, reviewer) to handle complex workflows.</li>
<li>Design communication protocols, routing logic, and error handling strategies.</li>
</ul>
<p><strong>Performance, Monitoring &amp; Optimization</strong></p>
<ul>
<li>Monitor agents using tools like LangSmith, CloudWatch, custom dashboards.</li>
<li>Debug behavior (hallucinations, latency, token usage) and run A/B tests for optimization.</li>
<li>Ensure secure, scalable, and cost-effective operation at production scale.</li>
</ul>
<p><strong>Production Deployment (AWS)</strong></p>
<ul>
<li>Deploy AI agents using AWS Bedrock, Lambda, Step Functions, EventBridge.</li>
<li>Build CI/CD pipelines, implement rollback strategies, and handle concurrency at scale.</li>
<li>Ensure compliance, governance, and security across automation flows.</li>
</ul>
<p><strong>Atlassian Ecosystem Automation</strong></p>
<ul>
<li>Develop Forge apps with embedded agent capabilities.</li>
<li>Build agents to automate Jira workflows, incident triage, ticket routing, and Confluence content generation.</li>
<li>Configure Atlassian Rovo as a knowledge source for AI agents, maintain and continuously improve.</li>
</ul>
<p><strong>Collaboration &amp; Documentation</strong></p>
<ul>
<li>Partner with cross-functional teams to identify automation opportunities.</li>
<li>Translate business needs into robust agentic solutions.</li>
<li>Document best practices, templates, and reusable components.</li>
<li>Mentor peers in agentic AI workflows and frameworks.</li>
</ul>

Agentic AI Engineer

DataRobot

<div><div>Job Description:</div><div></div><div>
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.</div><div></div><div>
As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.</div><div></div><div>
This is a unique opportunity to design, build, and deploy a wide range of applications&mdash;from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.</div><div></div><div>
This role is based in Dubai, United Arab Emirates.</div><div></div><div>
This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.</div><div></div><div><br>
Key Responsibilities:</div><ul><li><div>
Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</div></li><li><div>
Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</div></li><li><div>
Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</div></li><li><div>
Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</div></li><li><div>
Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</div></li><li><div>
Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</div></li><li><div>
Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</div></li><li><div>
Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</div></li></ul><div></div><div><br>
Knowledge, Skills and Abilities:</div><div></div><div>
AI &amp; Machine Learning Expertise:</div><ul><li><div>
Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</div></li><li><div>
Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</div></li><li><div>
Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</div></li></ul><div></div><div>
Application Development &amp; Operations:</div><ul><li><div>
Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</div></li><li><div>
Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</div></li><li><div>
Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</div></li><li><div>
Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</div></li><li><div>
Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</div></li></ul><div></div><div><br>
Requisite Education and Experience / Minimum Qualifications:</div><ul><li><div>
Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.</div></li><li><div>
Education: A Master&rsquo;s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.</div></li><li><div>
Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).</div></li><li><div>
DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.</div></li><li><div>
MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.</div></li><li><div>
Fluency in English and Arabic</div></li><li><div>
Willingness to travel onsite with clients up to 40% of the time</div></li></ul><div></div><div><br>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</div><div></div><div>
DataRobot Operating Principles:</div><ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul><div><br>
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.</div><div></div><div>
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.</div><div></div><div>
All applicant data submitted is handled in accordance with our <div>Applicant Privacy Policy</div>.</div></div>

Senior AI Engineer - Professional Services - UAE

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Senior AI Engineer - Professional Services - UAE