73 Model Training jobs in Dubai
AI Development Specialist
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As a Senior Software Developer, you will be part of the team that builds desktop and mobile AI applications on top of cutting-edge technologies.
Key Responsibilities:- AI-Driven Desktop Integration: You will develop and maintain backend services and APIs that power AI-enhanced desktop applications. These services support intelligent features like local inference, contextual awareness, and model interaction, tailored for Electron-based or hybrid clients.
- Platform-Aware API Design: Working closely with teams, you will design API contracts that reflect platform constraints and performance considerations — ensuring native-like responsiveness and cross-platform consistency.
- Scalable Model Invocation & Resource Management: You'll contribute to backend services that handle concurrent model invocations, manage GPU/CPU workloads, and intelligently queue or throttle requests based on system constraints — ensuring smooth AI on-device performance.
We are looking for an expert in software development who can leverage their skills to drive innovation and deliver high-quality results.
The Ideal Candidate- Strong background in software development with a focus on AI-driven technologies.
- Experience with backend services and API design.
- Excellent problem-solving skills and attention to detail.
In this role, you will have the opportunity to work with a talented team of developers and contribute to the development of cutting-edge AI applications.
What We Offer- Opportunity to work on exciting AI projects.
- Collaborative and dynamic work environment.
- Continuous learning and professional growth opportunities.
We are committed to providing a supportive and inclusive work environment that fosters creativity, collaboration, and growth.
AI Development Specialist
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We are looking for a skilled software engineer to join our team. The ideal candidate will have experience with backend development and advanced LLM workflows.
The successful candidate will be responsible for designing, building, and scaling backend services and RESTful APIs to power AI-driven features. They will also develop and iterate on LLM-based applications, including context-aware pipelines.
Our ideal candidate will own the full lifecycle of projects, from prototyping to deployment, monitoring, and continuous iteration. They will define KPIs, run experiments, and optimize systems based on metrics and data.
We are seeking a collaborative individual who can work across product, data, and engineering teams to translate ideas into robust, shippable systems. A strong background in embeddings and vector databases is required, as well as experience integrating generative models with external knowledge.
Requirements- 5+ years of professional software development experience with a strong backend focus.
- Experience with advanced LLM workflows: prompt engineering, inference optimization, fine-tuning, and evaluation.
- Demonstrated experience integrating generative models with external knowledge (via RAG or similar patterns).
- Practical knowledge of embeddings and vector databases (e.g. FAISS, Pinecone).
- Experience building and scaling data pipelines for LLM ingestion and retrieval.
- Previous work with agent frameworks or context protocols.
- Experience with Agile practices and a habit of staying on top of AI research and tooling.
- Hands-on experience designing and building microservices architectures.
AI Development Specialist - IoT Systems
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Job Title: AI Development Specialist - IoT Systems
Join our team of innovators to develop cutting-edge AI solutions for IoT systems. As an AI Development Specialist, you will be responsible for designing, building, and integrating AI modules into various IoT platforms.
About the Role:We are seeking a skilled AI engineer with expertise in machine learning frameworks, data engineering, and API integration. You will work closely with cross-functional teams to ensure seamless integration of AI solutions into enterprise systems.
Responsibilities:- Design and build AI modules for IoT systems using TensorFlow, PyTorch, and Scikit-Learn.
- Develop, train, validate, and maintain machine learning models for predictive maintenance, anomaly detection, optimization, and risk scoring.
- Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise systems.
- Collaborate with product and engineering teams to ensure AI solutions meet business requirements.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Proven hands-on experience in ML model training and production deployment.
- Solid understanding of IoT platforms (AWS IoT, Azure IoT, or custom).
- Experience in data engineering & API integration.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- End-to-end ownership of ML model lifecycle.
- Strong analytical and problem-solving skills.
- Ability to bridge technical solutions with business impact.
AI Software Development Consultant
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Overview
Design, develop, and deploy AI/ML models to solve business problems. Collaborate with cross-functional teams to identify opportunities for AI integration , translate client requirements into scalable AI-powered solutions , and provide consulting expertise on AI strategies, tools, and implementation. Stay up to date with the latest AI/ML frameworks, tools, and industry trends , ensuring solutions are robust, scalable, and aligned with business goals.
Responsibilities- Design, develop, and deploy AI/ML models to solve business problems.
- Collaborate with cross-functional teams to identify opportunities for AI integration .
- Translate client requirements into scalable AI-powered solutions .
- Provide consulting expertise on AI strategies, tools, and implementation.
- Stay up to date with the latest AI/ML frameworks, tools, and industry trends .
- Ensure solutions are robust, scalable, and aligned with business goals.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field .
- Strong programming skills in Python, R, or similar languages .
- Experience with TensorFlow, PyTorch, Keras, or other AI frameworks .
- Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML solutions.
- Excellent problem-solving and consulting skills .
- Strong communication and ability to present AI solutions to non-technical stakeholders.
- Opportunity to work on cutting-edge AI projects .
- Collaborative and innovative work environment .
- Career growth and continuous learning opportunities .
- Be part of an international, forward-thinking team .
AI Finance Development Specialist
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Job Description
Achieve Your Potential in AI Finance
Embark on a transformative 6-12 month internship where you will apply academic knowledge to real-world projects in artificial intelligence and finance.
This dynamic opportunity provides hands-on experience working on live projects with direct exposure to senior technology and investment professionals, offering unparalleled insight into the industry.
About the RoleThe successful candidate will collaborate closely with the AI Analyst and Head of Technology to design, develop, and implement AI solutions that enhance investment processes and decision-making.
Responsibilities- Craft Innovative Solutions - Collaborate with cross-functional teams to understand business needs and propose AI-driven solutions.
- Stay Ahead of the Curve - Stay current with AI and machine learning tools, trends, and best practices to recommend improvements.
- Drive Automation - Support the development of tools and applications that automate and optimize internal processes.
- Bachelor's or Master's degree from a top-tier institution in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Deep understanding of AI and machine learning principles, algorithms, and frameworks.
- Proficiency in programming languages such as Python or R, with experience using AI/ML libraries.
- A collaborative and innovative environment focused on professional development.
AI Software Development Consultant
Posted today
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Job Description
Design, develop, and deploy AI/ML models to solve business problems. Collaborate with cross-functional teams to identify opportunities for AI integration , translate client requirements into scalable AI-powered solutions , and provide consulting expertise on AI strategies, tools, and implementation. Stay up to date with the latest AI/ML frameworks, tools, and industry trends , ensuring solutions are robust, scalable, and aligned with business goals.
Responsibilities- Design, develop, and deploy AI/ML models to solve business problems.
- Collaborate with cross-functional teams to identify opportunities for AI integration .
- Translate client requirements into scalable AI-powered solutions .
- Provide consulting expertise on AI strategies, tools, and implementation.
- Stay up to date with the latest AI/ML frameworks, tools, and industry trends .
- Ensure solutions are robust, scalable, and aligned with business goals.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field .
- Strong programming skills in Python, R, or similar languages .
- Experience with TensorFlow, PyTorch, Keras, or other AI frameworks .
- Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML solutions.
- Excellent problem-solving and consulting skills .
- Strong communication and ability to present AI solutions to non-technical stakeholders.
- Opportunity to work on cutting-edge AI projects .
- Collaborative and innovative work environment .
- Career growth and continuous learning opportunities .
- Be part of an international, forward-thinking team .
AI Software Development Consultant
Posted today
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Job Description
- Design, develop, and deploy AI/ML models to solve business problems.
- Collaborate with cross-functional teams to identify opportunities for AI integration.
- Translate client requirements into scalable AI-powered solutions.
- Provide consulting expertise on AI strategies, tools, and implementation.
- Stay up to date with the latest AI/ML frameworks, tools, and industry trends.
- Ensure solutions are robust, scalable, and aligned with business goals.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- Proven experience in AI/ML model development & deployment.
- Strong programming skills in Python, R, or similar languages.
- Experience with TensorFlow, PyTorch, Keras, or other AI frameworks.
- Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML solutions.
- Excellent problem-solving and consulting skills.
- Strong communication and ability to present AI solutions to non-technical stakeholders.
- Opportunity to work on cutting-edge AI projects.
- Collaborative and innovative work environment.
- Career growth and continuous learning opportunities.
- Be part of an international, forward-thinking team.
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AI Business Development Manager
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We are seeking an experienced professional to develop and execute a go-to-market strategy for selling pre-assembled teams of AI specialists. The ideal candidate will have a strong understanding of the AI ecosystem, including demand for ML Engineers, Data Scientists, AI Product Managers, and AI Researchers.
Key Responsibilities- Develop a structured sales process and execute a high-impact business development strategy.
- Identify and target organizations that need AI contract teams for projects.
- Position the pre-assembled team model as a cost-effective, flexible, and scalable alternative to traditional hiring.
- Drive outbound prospecting, lead generation, and strategic partnerships to win new business.
- Work closely with leadership to refine pricing models, service offerings, and value propositions.
- Act as a trusted advisor, educating clients on the benefits of on-demand AI teams vs. traditional hiring.
- Lead high-level conversations with CTOs, Heads of AI, Chief Data Scientists, and R&D Directors.
- Manage contract negotiations, service agreements, and deal closures.
- Continuously refine the sales process based on market trends, client feedback, and competitor analysis.
- Develop a scalable, repeatable strategy to expand AI POD sales globally.
- Identify new industries and regions where the pre-assembled team model can be a game-changer.
- Collaborate with marketing to generate leads, build case studies, and create compelling sales collateral.
- Track and report key KPIs, revenue growth, and client satisfaction metrics.
Experience & Skills
- At least 3 years of experience in technical contract recruitment, staffing, or workforce solutions within AI, Data Science, ML, or Enterprise Tech.
- Proven track record in selling technology contract teams, recruitment solutions, or managed services.
- Strong understanding of the AI ecosystem, including demand for ML Engineers, Data Scientists, AI Product Managers, and AI Researchers.
- Ability to develop a structured sales process and execute a high-impact business development strategy.
- Skilled in B2B sales, account management, and consultative selling.
- Entrepreneurial mindset with a passion for scaling a high-growth sales solution.
- Self-driven and capable of owning a business unit from strategy to execution.
- Strong negotiation, networking, and presentation skills.
- Ability to work independently or relocate if desired.
AI-Powered Development Expert
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Job Role
The role involves developing and expanding AI-powered tools to improve the mobile coding ecosystem. You will be part of a cutting-edge team, contributing to the creation of next-generation coding assistance agents that leverage AI to transform developer interactions with coding tools.
Key Responsibilities:
- Design and implement Python-based solutions to enhance AI-powered development tools.
- Develop scalable, modular software architectures, ensuring code quality, security, and stability.
- Collaborate with cross-functional teams to integrate AI solutions and ensure seamless platform performance.
- Maintain clean, readable, and efficient code, following best practices for testing and security.
Essential Qualifications:
- Over 4 years of experience as a Python Engineer, focused on development.
- At least 2 years of experience with Python frameworks in Data Science or web development.
- Proven ability to work with modular architectures, emphasizing secure and testable code.
- Excellent command of Python syntax and conventions.
- Strong communication skills in English, both written and spoken.
Our Expectations
As an expert in AI-powered development tools, you will play a key role in shaping our technology stack and creating innovative solutions that meet the evolving needs of developers.
AI Module Development Engineer – IoT
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Job Purpose:
To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.
Key Responsibilities:- AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
- Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
- System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
- Model Training – Prepare data, select algorithms, and train models with high accuracy and scalability.
- Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
- Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Proven hands-on experience in ML model training and production deployment .
- Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
- Experience in data engineering & API integration .
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- End-to-end ownership of ML model lifecycle.
- Strong analytical and problem-solving skills.
- Ability to bridge technical solutions with business impact.