civil engineer

project engineer

sales engineer

electrical engineer

mep engineer

ai ml engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About Brain Co.
 
 
 
 Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.
 
 
 
 About The Role
 
 
 
 As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
 </li>
 <li>
 Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
 </li>
 <li>
 Make a Difference: Engage in projects including but not limited to optimizing the worlds most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
 </li>
 <li>
 Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
 </li>
 <li>
 Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
 </li>
 <li>
 Have at least a high level familiarity with the architecture and operation of large language models.
 </li>
 <li>
 Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
 </li>
 <li>
 Possess a strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Can work collaboratively with cross-functional teams.
 </li>
 <li>
 Thrive in fast-paced environments where priorities or deadlines may compete.
 </li>
 <li>
 Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary plus equity
 </li>
 <li>
 Daily lunches
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 401(k)
 </li>
 <li>
 Medical, Dental and Vision
 </li>
 <li>
 Unlimited PTO
 
 
 </li>
 </ul>
 
 
 This is a hybrid role based out of our Dubai office.
 
 
 
 
 Job Details
 
 
 Role Level: Entry-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.brain.co/ Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
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</div>

AI ML Engineer

Magic

<div>
 
 
 Department:
 
 Support &amp; Leadership
 
 
 
 Location:
 
 Global+
 
 
 
 Compensation:
 
 $7.00 / hour
 
 
 
 
 Description
 
 
 
 
 About the Client
 
 
 A U.S.-based leader in home inspector training, certification, and business enablement is building a modern, AI-enabled web platform to elevate inspection quality and efficiency. They help aspiring and practicing inspectors launch and grow their businesses with flexible courses, exam prep, and ongoing support. The team is now investing in software that streamlines inspections, ensures compliance, and seamlessly connects issues found to qualified contractors.
 
 
 
 Why does this role exist?
 
 
 The client has an inspection app prototype that&rsquo;s ~80% complete and needs a full‑stack developer to stabilize the product, integrate dependable AI (photo and text analysis), and ship a soft‑launch in four weeks. The role exists to harden architecture, resolve API/webhook integrations, complete multi‑role dashboards, and deliver an explainable, accurate AI pipeline. This hire will own feature delivery, QA, and iterations from launch through early post‑launch improvements.
 
 
 
 The Impact you&rsquo;ll make
 
 
 
 
 Full‑Stack Product Development
 
 <ul>
 <li>
 Build, debug, and polish features across the existing React front end and Node.js back end.
 </li>
 <li>
 Implement and refine role‑based dashboards: inspector, client/homebuyer portal, contractor dashboard, and lead‑generation dashboard.
 </li>
 <li>
 Stabilize and resolve API hooks and third‑party integrations; improve UI/UX responsiveness and reliability.
 </li>
 </ul>
 
 AI/ML Photo &amp; Text Intelligence
 
 <ul>
 <li>
 Integrate computer vision for photo analysis and NLP for inspector remarks to run compliance checks and generate actionable suggestions.
 </li>
 <li>
 Design explainable pipelines with measurable accuracy; reduce false positives/negatives and hallucinations.
 </li>
 <li>
 Set up model serving, monitoring, and iteration workflows using AI tooling.
 </li>
 </ul>
 
 Lead Generation &amp; Contractor Matching
 
 <ul>
 <li>
 Implement the lead‑routing flow that connects inspection issues to appropriate contractors.
 </li>
 <li>
 Build contractor matching logic and operational dashboards; ensure smooth handoff and feedback loops.
 </li>
 <li>
 Instrument metrics to track lead quality, acceptance, and conversion.
 </li>
 </ul>
 
 Quality, Testing, and Release Management
 
 <ul>
 <li>
 Establish test coverage, QA plans, and bug triage to support a reliable soft‑launch and post‑launch hardening.
 </li>
 <li>
 Optimize performance, error handling, and logging; proactively resolve defects.
 </li>
 <li>
 Collaborate on release planning and rollback strategies.
 </li>
 </ul>
 
 DevOps, Architecture, and Collaboration
 
 <ul>
 <li>
 Maintain CI/CD, Git/GitHub workflows, and environment configuration (current dev in Replit; AI‑assisted coding in Cursor).
 </li>
 <li>
 Recommend pragmatic architectural improvements and tradeoffs (e.g., native vs. responsive web).
 </li>
 <li>
 Communicate clearly in Slack, write documentation, and create tickets for iterative work.
 
 
 </li>
 </ul>
 
 Skills, Knowledge and Expertise
 
 
 
 
 Required:
 
 <ul>
 <li>
 3+ years building production web applications with React (front end) and Node.js (back end).
 </li>
 <li>
 Hands‑on integration of AI/ML into applications (computer vision and NLP), including model serving and evaluation.
 </li>
 <li>
 Strong experience with RESTful APIs/webhooks and third‑party service integrations.
 </li>
 <li>
 Practical DevOps and QA skills: Git/GitHub, CI/CD, automated testing, and release management.
 </li>
 <li>
 Excellent English communication and ability to work Monday&ndash;Friday, 9:00 am&ndash;5:00 pm Mountain Time (40 hours/week).
 </li>
 <li>
 WFH Set-Up:
 <ul>
 <li>
 Computer with at least 8GB RAM, an Intel i5 core processor/AMD Ryzen 5 Processor and up.
 </li>
 <li>
 Internet speed of at least 40MBPS
 </li>
 <li>
 Headset with an extended mic that has noise cancellation and a webcam
 </li>
 <li>
 Back-up computer and internet connection
 </li>
 <li>
 Quiet, dedicated workspace at home
 </li>
 </ul>
 </li>
 </ul>
 
 Your Superpowers:
 
 <ul>
 <li>
 Technical: React, Node.js, JavaScript/TypeScript, REST/GraphQL APIs, relational/non‑relational databases (e.g., Postgres/MongoDB), cloud deployment, containers, CI/CD, automated testing. Familiarity with Replit, Cursor, and AI tooling (e.g., OpenAI/vision models, vector databases) is a plus.
 </li>
 <li>
 AI/ML: Practical experience building explainable pipelines, evaluating model performance, and reducing hallucinations/false results.
 </li>
 <li>
 Product &amp; Process: Strong debugging instincts, clean architecture mindset, and the ability to turn ambiguous requirements into shippable, maintainable solutions.
 </li>
 <li>
 Communication: Clear written and verbal English, proactive Slack collaboration, and crisp documentation.
 </li>
 </ul>
 
 You should apply if&hellip;
 
 <ul>
 <li>
 You thrive on taking a working prototype to a stable, scalable product within tight timelines.
 </li>
 <li>
 You care about reliability and trust&mdash;especially when AI outputs inform customer decisions and compliance.
 </li>
 <li>
 You&rsquo;re comfortable owning end‑to‑end delivery across front end, back end, AI integration, testing, and DevOps.
 </li>
 <li>
 You make pragmatic tradeoffs, communicate risks early, and iterate quickly based on feedback.
 </li>
 </ul>
 
 What to expect...
 
 
 
 
 
 Work Setup:
 
 <ul>
 <li>
 Remote position
 </li>
 <li>
 Must have a reliable internet connection and a quiet workspace
 </li>
 <li>
 Required to provide own computer with Intel Core i5 or something similar or higher operating system
 </li>
 </ul>
 
 Working Hours:
 
 <ul>
 <li>
 40 hours per week
 </li>
 <li>
 Monday - Friday: 9:00 am - 5:00 pm (Mountain Time)
 </li>
 </ul>
 
 Compensation:
 
 <ul>
 <li>
 $7 per hour
 </li>
 <li>
 No benefits package included
 
 
 </li>
 </ul>
 
 Benefits
 
 
</div>

Full-Stack Software Developer - Freelance, Remote

Scionecx Private Limited

Key Responsibilities&#9679; Design, develop, and deploy machine learning models for blockchain-related applications.&#9679; Work with large datasets to perform data preprocessing, cleaning, and feature engineering.&#9679; Build prediction, classification, anomaly detection, and recommendation systems.&#9679; Optimize models for accuracy, performance, and scalability.&#9679; Collaborate with data engineers and blockchain developers for end-to-end ML pipeline integration.&#9679; Implement model monitoring and retraining strategies for production environments.&#9679; Research and apply latest ML/AI algorithms and techniques to improve business outcomes.&#9679; Document solutions, workflows, and provide technical support to the team.Required Skills &amp; Qualifications&#9679; 3&ndash;5 years of professional experience as an ML Engineer/Developer.&#9679; Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).&#9679; Solid understanding of machine learning algorithms, deep learning, and NLP.&#9679; Experience in data preprocessing, model training, and evaluation.&#9679; Hands-on experience with Pandas, NumPy, and data visualization libraries.&#9679; Familiarity with SQL/NoSQL databases and data pipelines.&#9679; Good knowledge of API development and integration for ML services.&#9679; Strong problem-solving and analytical skills.Good to Have (Preferred)&#9679; Experience with blockchain or Web3 data analytics (on-chain data, anomaly detection, fraud detection).&#9679; Familiarity with cloud ML services (AWS SageMaker, GCP AI, Azure ML).&#9679; Knowledge of MLOps practices (Docker, Kubernetes, CI/CD for ML).&#9679; Exposure to big data platforms (Spark, Hadoop).&#9679; Relevant certifications in ML/AI.Job Type: Full-timePay: AED15,000.00 - AED20,000.00 per monthExperience:<ul><li>TensorFlow, PyTorch, Scikit- Learn: 4 years (Required)</li><li>Spark, Hadoop, Panda, Numpy: 4 years (Required)</li><li>AWS SageMaker, GCP AI, Azure ML: 4 years (Required)</li><li>Docker, Kubernetes, CI/CD for ML: 4 years (Required)</li></ul>License/Certification:<ul><li>Artificial Intelligence &amp; Machine Learning (Required)</li></ul>

Machine Learning Developer

Watts Water Technologies

<div>
 The Intelligent Process Automation (IPA) team at Watts Water Technologies drives innovation by delivering cutting-edge solutions in automation, data management, and analytics. As a global team, the IPA team enhances operational efficiency and decision-making across Watts Water Technologies companies worldwide.
 
 
 The team specializes in Robotic Process Automation (RPA) to streamline repetitive tasks and improve productivity, workflow development to ensure seamless coordination across departments, and Data, ETL, and Business Intelligence (BI) to create robust data management and visualization solutions. By integrating advanced technologies like IoT, the team fosters innovation and smarter customer experiences.
 
 
 Collaborating closely with departments such as Engineering, Finance, and IT, the IPA team bridges products and services to deliver value-driven, connected solutions for Watts&rsquo; customers.
 
 
 As an AI Developer, you will be pivotal in advancing data-driven initiatives, designing innovative ML/AI solutions, and contributing to the organization's digital transformation journey.
 
 
 
 Responsibilities And Duties
 
 
 
 <ul>
 <li>
 Identify and propose opportunities for leveraging ML/AI to drive business value.
 </li>
 <li>
 Collaborate with cross-functional teams, including Product, IoT/Digital Solutions, Marketing, Finance, and Customer Service, to design and implement ML/AI solutions.
 </li>
 <li>
 Scope, manage, and execute data science projects aligned with business goals.
 </li>
 <li>
 Partner with Engineering to optimize sensor data flows and develop analytical software for IoT devices.
 </li>
 <li>
 Collaborate with Product Management to identify and develop IoT-driven product features.
 </li>
 <li>
 Ensure compliance with privacy and security standards by working with internal security teams.
 </li>
 <li>
 Develop ML/AI solutions to improve business outcomes such as financial forecasting, customer behavior analysis, product recommendations, A/B testing, and campaign optimization.
 </li>
 <li>
 Contribute to strategic initiatives in big data and advanced analytics.
 </li>
 <li>
 Discover and integrate new data sources to enhance analytics capabilities.
 </li>
 <li>
 Conduct statistical analysis and apply ML/AI methodologies for predictive and prescriptive analytics.
 </li>
 <li>
 Follow and support best practices for ML/AI development, infrastructure, and ML Ops.
 </li>
 <li>
 Collaborate and learn from senior data scientists, including those from outsourcing partners.
 </li>
 <li>
 Stay updated on data science principles and techniques to support continuous learning.
 </li>
 <li>
 Build and maintain strong working relationships with IT colleagues and business stakeholders.
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor or Master degree in data science, computer science, statistics or related fields.
 
 
 </li>
 </ul>
 
 Management
 
 
 
 <ul>
 <li>
 This position does not have any direct reports.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2-3 years of relevant experience in working with AI/ML projects for various business functions.
 </li>
 <li>
 Expertise in Python or Working experience in Scala, Spark and C++
 </li>
 <li>
 Proficiency in database programming languages such as SQL, PL/SQL
 </li>
 <li>
 Proficiency in .NET Core programming is a plus but not required
 </li>
 <li>
 Experience with ML/Deep Learning techniques/algorithms (Regression, Classification, Clustering, Neural Networks, Random Forest, Boosting, Trees, Text Mining, SVM, Graph Analysis, Computer Vision, etc.).
 </li>
 <li>
 Knowledge of some ML libraries (such as Py Torch, Keras, Pandas, NumPy, OpenCV, etc.).
 </li>
 <li>
 Experience with Large Language Models (LLMs) such as OpenAI GPT, BERT, or similar, including fine-tuning and deploying them for domain-specific use cases.
 </li>
 <li>
 Experience with Retrieval-Augmented Generation (RAG) frameworks to combine LLM reasoning with external knowledge retrieval for applications like Q&amp;A systems, semantic search, and document processing.
 </li>
 <li>
 Experience with Streaming Analytics and applied machine learning.
 </li>
 <li>
 Experience with Big Data processing tools and techniques.
 </li>
 <li>
 Familiarity with agile methodology and DevOps/MLOps practices (e.g., MLFlow, Kubeflow).
 </li>
 <li>
 Experience with Azure IoT Edge platform is preferable.
 </li>
 <li>
 Experience with Azure Databricks is preferable.
 </li>
 <li>
 Strong analytical and critical thinking to solve business problems using AI technologies, including LLMs and RAG.
 </li>
 <li>
 Understanding of ethical AI practices and ability to optimize AI solutions for scalability, latency, and cost.
 </li>
 <li>
 High proficiency in written and oral communication, with the ability to present technical concepts to stakeholders at all levels.
 </li>
 <li>
 Ability to work on multiple projects in a fast-paced environment.
 </li>
 <li>
 Preferably in Manufacturing domain and IoT products related.
 </li>
 </ul>
</div>

AI Developer

oryxsearch.io

<div>
 
 
 Role: Senior/Lead- AI/ML Scientist &ndash; Personalization &amp; GenAI (Dubai based)
 
 
 
 
 
 
 Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you&rsquo;ll help define the future of personalization and user engagement using Generative AI and advanced machine learning.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end AI transformation focused on personalization in a consumer-facing application.
 </li>
 <li>
 Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI.
 </li>
 <li>
 Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements.
 </li>
 <li>
 Design and deploy data/ML instrumentation to extract insights and optimize the product experience.
 </li>
 <li>
 Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses.
 </li>
 <li>
 Build and scale machine learning algorithms and pipelines to production using big data technologies.
 </li>
 <li>
 Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications.
 </li>
 <li>
 Design and evaluate A/B tests and communicate results across cross-functional teams.
 </li>
 <li>
 Define, implement, and monitor key performance metrics for AI-driven product features.
 </li>
 <li>
 Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data.
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred)
 </li>
 <li>
 Deep experience in personalization, search, or recommendation systems (3&ndash;4 years in a product-focused environment).
 </li>
 <li>
 Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models).
 </li>
 <li>
 Hands-on experience with LLMs and GenAI technologies.
 </li>
 <li>
 Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive.
 </li>
 <li>
 Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design.
 </li>
 <li>
 Solid background in ranking, recommendation, and retrieval systems.
 </li>
 <li>
 Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.).
 </li>
 <li>
 Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy.
 </li>
 <li>
 Bonus: Experience with geospatial data and advanced analytics platforms.
 </li>
 </ul>
 
 
</div>

Senior / Lead AI Scientist (Personalisation & GenAI)

Infinity

<div><h1 class="jobSectionHeader">Portfolio Tech Lead &ndash; Infinity MENA</h1><h3 class="jobSectionHeader">
About Infinity MENA</h3>
Infinity Constellation is expanding into the Middle East with the launch of Infinity MENA, a new regional holding company. Infinity builds and scales AI-driven businesses in essential service sectors, creating long-term compounding value. Infinity MENA will localize Infinity&rsquo;s proven business models and launch new ventures that respond to regional opportunities.
We are seeking a Portfolio Tech Lead to drive the localization, technical launch, and scaling of multiple business units within Infinity MENA. This role is hands-on from day one: you&rsquo;ll be coding in our stack (Python + TypeScript), leading a small team, and deploying AI automation systems. Over time, this position evolves into a portfolio-level technology leadership role overseeing technical direction across multiple Infinity MENA businesses. This role is based in Dubai.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Hands-On Development &amp; Launch<ul><li>
Write production-grade code in Python and TypeScript, Infinity&rsquo;s core stack.</li><li>
Build and integrate AI agents, automation pipelines, and AI-first workflows into Infinity MENA business units.</li><li>
Stand up infrastructure, data pipelines, and AI-enabled product features for MVP launches.</li><li>
Lead and mentor a small founding engineering team (1&ndash;5 engineers) while setting coding and delivery standards.</li></ul></li><li> 
Localization &amp; Regionalization<ul><li>
Customize Infinity&rsquo;s platforms for the MENA market (Arabic/English systems, payments, compliance, hosting, and data residency).</li><li>
Ensure AI-enabled processes are culturally and legally aligned with regional requirements.</li><li>
Translate Infinity&rsquo;s global playbooks into MENA-specific systems while ensuring interoperability with the global platform.</li></ul></li><li> 
Scaling &amp; Leadership<ul><li>
Transition from player-coach to portfolio-level leader as Infinity MENA companies scale.</li><li>
Partner with BU CEOs and founders to architect scalable AI-first systems and hire/mentor regional engineering leaders.</li><li>
Build shared technical services (DevOps, AI/ML infrastructure, analytics, IT, security) to accelerate scale across companies.</li></ul></li><li> 
AI Strategy &amp; Governance<ul><li>
Be the senior-most AI/automation expert in MENA, advising Infinity leaders on where to deploy AI agents and automation for maximum leverage.</li><li>
Evaluate, prototype, and implement AI frameworks (ex. LangChain, n8n, RAG systems, multi-agent coordination, etc.) across businesses.</li><li>
Ensure AI systems meet data security, safety, and reliability standards, especially in regulated industries (finance, healthcare, logistics).</li></ul></li><li> 
Advisory &amp; Portfolio Support<ul><li>
Serve as a trusted advisor to the Infinity MENA CEO and board on technical risks, AI adoption, and portfolio-wide opportunities.</li><li>
Represent technology in board meetings, portfolio reviews, and investor discussions.</li></ul></li></ul><h2 class="jobSectionHeader"> 
Requirements</h2><ul><li>
Experience<ul><li>
8&ndash;12+ years in software engineering and technical leadership, with a hands-on coding background.</li><li>
Strong experience in Python and TypeScript (Infinity&rsquo;s core stack).</li><li>
Demonstrated expertise in AI automation, AI agents, and applied ML/LLM systems.</li><li>
Track record of launching or localizing products in multiple geographies (MENA experience preferred but not required).</li><li>
Prior experience in a portfolio/holding company, startup studio, or VC/PE-backed scaling environment is a plus.</li></ul></li><li> 
Skills &amp; Capabilities<ul><li>
Deep understanding of cloud infrastructure, DevOps, and scalable architecture.</li><li>
Practical knowledge of AI frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen, fine-tuning pipelines).</li><li>
Strong knowledge of MENA-specific technical considerations (localization, payments, regulatory environments).</li><li>
Ability to ship code today and build/scale teams tomorrow.</li></ul></li><li> 
Mindset<ul><li>
Builder-operator: thrives in hands-on coding mode, then scales to team-building and governance.</li><li>
Entrepreneurial, adaptable across multiple businesses and teams.</li><li>
Collegial, intellectually honest, and able to red-team assumptions to drive the highest standard of execution.</li></ul></li></ul><h2 class="jobSectionHeader"> 
What We Offer</h2><ul><li>
A once-in-a-decade opportunity to build the Infinity MENA technology foundation from scratch.</li><li>
Immediate hands-on impact with clear growth trajectory from founding engineer/lead portfolio CTO.</li><li>
Exposure to multiple industries, founders, and CEOs, with portfolio-wide influence.</li><li>
Competitive compensation, including long-term equity incentives aligned with Infinity&rsquo;s compounding value philosophy.</li><li>
A collegial, ambitious culture that balances innovation with discipline.</li></ul></div>

Portfolio Tech Lead – Infinity MENA

Salt

<div>
 
 
 Job Title: Clinical AI Scientist &ndash; Utilization Management Focus
 
 
 
 
 Location: Dubai / Abu Dhabi, UAE (Hybrid)
 
 
 
 
 
 
 
 Role Summary:
 
 
 
 My client is seeking a
 
 Clinical AI Scientist
 
 with deep expertise in
 
 Utilization Management (UM)
 
 to join their Data &amp; AI team.
 
 
 
 
 
 This role sits at the intersection of clinical operations and AI innovation. Focused on validating and continuously improving AI driven solutions for prior authorization, concurrent review, inpatient/outpatient
 
 
 adjudication, and medical necessity assessments.
 
 
 
 
 
 The ideal candidate combines clinical acumen with a working knowledge of AI/ML systems to serve as a subject matter expert in testing, auditing, and optimizing AI models integrated into our health insurance platform.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Act as the clinical lead for validating AI solutions deployed in utilization management workflows.
 
 
 &bull; Collaborate with data scientists and engineers to test AI model performance using real-world claims, authorization, and clinical data.
 
 
 &bull; Review and audit model outputs
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 Clinical Experience:
 
 
 
 &bull; RN, MD, or advanced clinical degree (e.g., NP, PA) required.
 
 
 &bull; Minimum 5 years of experience in Utilization Management, Prior Authorization,
 
 
 Case Review, or Medical Necessity Review in a payer or health-tech setting.
 
 
 
 AI/Data Familiarity:
 
 
 
 &bull; Basic proficiency with data science tools (e.g., SQL, Python, Excel).
 
 
 &bull; Experience working with or supporting development/testing of AI/ML models is
 
 
 strongly preferred.
 
</div>

Clinical AI Scientist – Utilization Management Focus

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