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artificial intelligence specialist

Hill International, Inc.

<div>
 
 We are expanding our team for an exciting
 
 large-scale Mixed‑Use Development project in the UAE
 
 and are looking to engage a highly skilled professional for the role of:
 
 
 
 
 
 
 DATA &amp; ARTIFICIAL INTELLIGENCE SPECIALIST
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Data Science, Computer Science, or related field &ndash; Mandatory
 </li>
 <li>
 Master&rsquo;s degree in Data Analytics / AI / Smart Systems &ndash; Preferred
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong experience in data-driven decision support within large-scale projects
 </li>
 <li>
 Data Analytics / AI Certifications &ndash; Mandatory / Preferred
 </li>
 <li>
 Power BI / Tableau / Data Visualization Tools &ndash; Mandatory
 </li>
 <li>
 Python / SQL &ndash; Preferred
 </li>
 <li>
 PMP &ndash; Advantageous
 </li>
 <li>
 10&ndash;12+ years of professional experience
 </li>
 <li>
 Strong experience in data analytics, dashboards, and AI-driven insights
 </li>
 <li>
 Experience supporting project/program decision-making (not just reporting)
 </li>
 <li>
 Ability to integrate data from multiple systems (cost, schedule, BIM, IoT)
 </li>
 <li>
 Preferably worked with reputable PMC/Consultants or international firms
 </li>
 <li>
 Experience in large-scale / smart / infrastructure projects is preferred
 </li>
 <li>
 Strong communication skills to translate data into actionable insights
 </li>
 </ul>
 
 
 
 
 
 
 
 Hill is an equal opportunity employer Minorities/ Female/ Veterans/ Disabled employer offering competitive compensation, excellent benefits and an exciting and challenging culture.
 
 
 
</div>

DATA & ARTIFICIAL INTELLIGENCE SPECIALIST

eSense

<div>
 Position Overview
 
 
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 
 
 Key Responsibilities&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze requirements and contribute to technical AI solution design.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in Python (mandatory).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in backend development (APIs, microservices, model serving).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands-on experience with local LLM deployment and optimization.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in RAG system design and vector databases.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Practical experience in model fine-tuning (LoRA / PEFT).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working in Linux environments.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in peer code reviews and team planning activities.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide task estimations and deliver within approved timelines.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 
 
 Qualifications
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2-5 years of experience in AI Engineering.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in C#, .NET Core and Python.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Structured and Unstructured databases.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Angular or other frontend technologies is a strong plus.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with Git, RESTful services, and Agile development methodologies
 
</div>

AI Engineer

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Intern/Trainee
 
 
 
 
 Job Description &amp; Summary
 
 
 PwC ETHIC seeks an Applied AI Intern with a background in computer science, programming skills in Python or C# and familiar with Git, JIRA, and Agile methodologies. The intern should possess problem-solving abilities, critical thinking skills, and be able to communicate complex technical information. They should be a team player with a passion for AI and a desire to learn and grow.
 
 
 
 1. Education: The Graduate should have a bachelor's degree in computer science, electrical engineering, mathematics, or a related field. Ideally, the intern should have taken courses in artificial intelligence, machine learning, data structures, algorithms, and programming languages such as Python, or C++.
 
 2. Technical Skills: The intern should have a strong foundation in programming and software development. They should have experience with programming languages such as Python, or C++. They should also be familiar with software development tools such as Git, JIRA, and Agile methodologies. Experience with AI frameworks such as Langchain, TensorFlow, PyTorch, or Keras is a plus.
 
 3. Problem-Solving Skills: The intern should have strong problem-solving skills and the ability to analyze complex data sets. They should be able to identify patterns and trends, and develop algorithms to solve problems.
 
 4. Communication Skills: The intern should have excellent communication skills, both written and verbal. They should be able to communicate technical information to non-technical stakeholders in a clear and concise manner.
 
 5. Collaborative Skills: The intern should be a team player and be able to work collaboratively with other members of the team. They should be able to share their ideas and be open to feedback.
 
 6. Passion for AI: The intern should have a passion for AI and be willing to learn new technologies and tools. They should be curious and have a desire to innovate.
 
 7. Attention to Detail: The intern should have a strong attention to detail and be able to identify errors and bugs in code. They should be able to write clean, well-documented code.
 
 8. Ethical Considerations: The intern should be aware of the ethical considerations surrounding AI, such as bias and privacy concerns. They should be committed to developing AI solutions that are fair, transparent, and ethical.
 
 9. Willingness to Learn: The intern should be willing to learn new skills and technologies and be open to feedback from their peers and mentors.
 
 
 10. Self-Motivation: The intern should be self-motivated and able to work independently. They should be able to prioritize their workload and meet deadlines.&nbsp;
 
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Applied AI - Graduate Program

Soum

<div>
 
 Role Name: AI / GenAI Solutions Engineer
 
 
 
 Location:
 
 Egypt, Saudi Arabia, and Pakistan (Remote)
 
 
 
 Work Week:
 
 Sunday - Thursday
 
 
 
 Working Hours:
 
 9:00 AM - 6:00 PM (Saudi Arabia Standard Time)
 
 
 
 Overview:
 
 
 Soum is on a mission to revolutionize customer service experiences across our C2C marketplace through cutting-edge AI solutions. We&rsquo;re looking for a talented
 
 AI / GenAI Solutions Engineer
 
 who will architect, build, and deploy intelligent systems that transform how we engage with millions of users.
 
 
 You&rsquo;ll be at the forefront of GenAI innovation&mdash;leveraging tools like Gemini Advanced, Claude Enterprise, and ChatGPT&mdash;to design scalable, reliable, and context-aware AI agents deeply integrated into Soum&rsquo;s ecosystem. This is your chance to make a tangible impact on how customers interact with our platform while working in a collaborative, fast-paced environment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build GenAI-powered solutions: Design, develop, and deploy scalable business workflows using GenAI client tools (e.g., Gemini Advanced, NotebookLM, Claude Enterprise) and integrate them with existing systems via APIs (Freshdesk, Google Workspace, Airtable, etc.)
 </li>
 <li>
 Drive AI innovation: Evaluate and experiment with emerging GenAI technologies, stay ahead of industry trends, and pilot innovative solutions tailored for Soum&rsquo;s marketplace
 </li>
 <li>
 Ensure scalability and reliability: Architect solutions that can handle high-volume, concurrent user interactions while maintaining low latency and excellent user experience
 </li>
 <li>
 Partner cross-functionally: Collaborate with Product, Data, Engineering, and Customer Support teams to identify opportunities for automation and deliver impactful, user-centric solutions
 </li>
 <li>
 Evangelize AI adoption: Share best practices, contribute to technical knowledge-sharing sessions, and promote a culture of continuous improvement and innovation
 </li>
 <li>
 Bridge technical gaps: Integrate custom-built AI platforms with out-of-the-box GenAI tools, fostering democratization and ease of adoption across teams
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in Computer Science, Engineering, or a related technical field
 </li>
 <li>
 3+ years of relevant experience in AI or related fields
 </li>
 <li>
 Experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts
 </li>
 <li>
 Deep hands-on experience using and implementing GenAI tools (e.g., Gemini, ChatGPT, Claude Enterprise) to solve real-world business problems
 </li>
 <li>
 Strong understanding of SaaS ecosystems, API integrations (including Google Workspace, Airtable, Freshdesk)
 </li>
 <li>
 Expertise in NLP/NLU, conversational AI frameworks, and large language models
 </li>
 <li>
 Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping
 </li>
 <li>
 Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures
 </li>
 <li>
 Experience working on a C2C platform. Solid understanding of marketplace dynamics, customer support challenges, and user engagement in a C2C environment
 </li>
 <li>
 Experience implementing conversational flows, dialogue management, and context tracking in AI agents
 </li>
 <li>
 Familiarity with retrieval-augmented generation (RAG) architectures for enhancing LLM capabilities
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI deployments
 </li>
 <li>
 Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

AI / GenAI Solutions Engineer

Talent 360 ME

<div>
 
 About Vezloo:
 
 
 
 Vezloo is a dynamic and fast-growing company focused on delivering high-quality AI-driven solutions. We are committed to innovation, safety, and excellence, ensuring that our technologies meet the highest standards of performance and compliance.
 
 
 
 Role Overview:
 
 
 
 We are seeking a detail-oriented and analytical Native Linguistics Specialist to support the evaluation and improvement of generative AI systems. In this role, you will be responsible for reviewing AI-generated content, identifying potential risks, and ensuring outputs align with safety and policy standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Review and evaluate system-generated responses to identify harmful, unsafe, or non-compliant content
 </li>
 <li>
 Detect safety violations and policy breaches across AI outputs
 </li>
 <li>
 Classify risks based on predefined guidelines and frameworks
 </li>
 <li>
 Provide clear, actionable insights to improve model performance and safety
 </li>
 <li>
 Collaborate with cross-functional teams to enhance evaluation processes and quality standards
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Native-level linguistic proficiency with strong command of English (C1-C2)
 </li>
 <li>
 Proven experience in evaluating or assessing Generative AI models
 </li>
 <li>
 Strong analytical skills with attention to detail
 </li>
 <li>
 Ability to interpret policies and apply them consistently in evaluations
 </li>
 <li>
 Access to a Mac device with the latest macOS
 </li>
 <li>
 Previous experience in AI safety, content moderation, or linguistic quality evaluation
 </li>
 <li>
 Familiarity with annotation tools and data labeling platforms
 </li>
 <li>
 Ability to work independently in a remote environment
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Fully remote work environment
 </li>
 <li>
 Opportunity to work on cutting-edge AI technologies
 </li>
 <li>
 Collaborative and inclusive team culture
 </li>
 <li>
 Professional growth and development opportunities
 </li>
 </ul>
</div>

Native Linguistics Specialist - GenAI Evaluation

Aspire, Jordan

<div>
 
 We are looking for
 
 AI Platform Engineers
 
 to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you&rsquo;ll design and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams;
 
 
 Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing;
 
 
 Create developer tooling and documentation that makes integration with your services intuitive and easy;
 
 
 Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance;
 
 
 Collaborate with feature teams to understand their needs and solve them with platform capabilities;
 
 
 Design, develop, and maintain scalable and performant APIs;
 
 
 Write clean, maintainable, and well-documented code;
 
 
 Participate in code reviews and provide and receive constructive feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What You&rsquo;ll Need
 
 
 <ul>
 <li>
 Prior software engineering experience with API design and distributed system development;
 </li>
 <li>
 Strong experience building backend services and REST or GraphQL APIs;
 </li>
 <li>
 Knowledge of API design best practices around security, performance monitoring, rate limiting, and more;
 </li>
 <li>
 Understanding of LLM integration and usage patterns;
 </li>
 <li>
 Strong collaboration and written and verbal communication skills;
 </li>
 <li>
 Past experience with cloud infrastructure, preferably on AWS;
 </li>
 <li>
 Experience with Node.js or a desire to learn;
 </li>
 <li>
 Experience with TypeScript or a desire to learn;
 </li>
 <li>
 Background in developer tooling and API documentation is preferred.
 </li>
 </ul>
 
 
</div>

AI Platform Engineer

Summit Technology Solutions

<div>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-driven applications using modern frameworks and tools
 </li>
 <li>
 Build and maintain APIs using FastAPI, flask and Django
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines
 </li>
 <li>
 Deploy and optimize Large Language Models (LLMs) for real-world use cases
 </li>
 <li>
 Work with vector databases for semantic search and retrieval tasks
 </li>
 <li>
 Develop OCR-based solutions for document processing and automation
 </li>
 <li>
 Collaborate on end-to-end product development from PoC to production deployment
 </li>
 <li>
 Manage version control and collaboration using Git
 </li>
 <li>
 Participate in client meetings to understand requirements, present solutions, and provide technical insights
 </li>
 <li>
 Ensure scalability, reliability, and performance of deployed systems
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 2&ndash;3 years of professional experience in software engineering with AI development
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Hands-on experience with FastAPI, flask and Django
 </li>
 <li>
 Solid understanding of RAG architectures and workflows
 </li>
 <li>
 Experience deploying and integrating LLMs
 </li>
 <li>
 Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, etc.)
 </li>
 <li>
 Experience with OCR technologies and document processing
 </li>
 <li>
 Proficiency with Git and collaborative development workflows
 </li>
 <li>
 Experience with Docker and containerization
 </li>
 </ul>
</div>

Artificial Intelligence Software Engineer

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