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INNOBAYT INNOVATIVE SOLUTIONS

About the RoleInnobayt is seeking a highly motivated AI Engineer Intern for a 3-month intensive internship. During this program, you'll gain hands-on experience working on real-world AI projects involving Machine Learning, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and Computer Vision. You'll collaborate closely with our experienced engineering team to develop innovative and impactful AI solutions.Key Responsibilities<ul><li>Assist in developing, fine-tuning, and optimizing machine learning models.</li><li>Build AI-powered solutions, including AI Agents and LLM-based applications.</li><li>Prepare and preprocess datasets for AI model development.</li><li>Research and experiment with LLMs, RAG, prompt engineering, and emerging AI technologies.</li><li>Integrate AI models into applications, APIs, and production workflows.</li><li>Evaluate, test, and improve AI model performance.</li><li>Collaborate with the engineering team on real-world AI projects.</li><li>Document technical work, experiments, and project progress.</li></ul>What We're Looking for Technical Skills<ul><li>Bachelor's degree (or final-year student) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Fresh graduates are encouraged to apply.</li><li>Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.</li><li>Basic understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), or Computer Vision.</li><li>Familiarity with LLMs, embeddings, vector databases, RAG, LangChain, or OpenAI APIs is an advantage.</li><li>Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus.</li></ul>Language Requirement<ul><li>Fluent in Arabic (required)</li><li>Fluent in English (required)</li></ul>Mindset &amp; Work Approach<ul><li>Passion for Artificial Intelligence and emerging technologies.</li><li>Eagerness to learn, experiment, and solve real-world challenges.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work effectively in a collaborative and fast-paced environment.</li></ul>What We Offer<ul><li>Hands-on experience working on real-world AI projects.</li><li>Mentorship from experienced AI and software engineers.</li><li>Exposure to modern AI tools, frameworks, and industry best practices.</li><li>A nominal monthly stipend (the exact amount will be discussed during the interview).</li><li>Internship certificate upon successful completion.</li><li>Opportunity for a full-time role based on performance.</li></ul>Job Type: InternshipWork Location: In person

AI Engineer Intern – 3-Month Internship

DATAMAZE . AI

<div>
 Hyderabad, India / Dubai, UAE
 
 
 Full-time
 
 
 Apply to Job
 
 
 
 About The Role
 
 
 
 We are looking for a highly motivated Machine Learning Engineer / Data Scientist to join our dynamic team. In this mid-level role, you will leverage your expertise in data science and machine learning to design, build, and deploy innovative models and solutions that address real-world challenges.
 
 
 You will collaborate with cross-functional teams, including data engineers, product managers, and software developers, to turn complex datasets into actionable insights and build machine learning solutions that drive business value. This is a fantastic opportunity to work on impactful projects, expand your skill set, and contribute to cutting-edge advancements in AI and data science.
 
 
 
 Key Responsibilities
 
 
 
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 Model Development: Design, train, and evaluate machine learning models to solve business problems such as classification, regression, clustering, and recommendation.
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 Data Preparation: Work with large and complex datasets, performing data cleaning, preprocessing, and feature engineering to optimize model performance.
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 Model Deployment: Deploy machine learning models into production environments, ensuring scalability and robustness.
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 Algorithm Selection: Research and implement state-of-the-art algorithms and methodologies to enhance model accuracy and efficiency.
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 Collaboration: Collaborate with data engineering teams to build data pipelines and ensure efficient data flow for machine learning workflows.
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 Visualization and Reporting: Create clear and actionable visualizations and reports to communicate findings and results to stakeholders.
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 Monitoring and Maintenance: Monitor model performance in production, address drift or bias issues, and optimize models as needed.
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 Tool Development: Build tools and frameworks to enable rapid experimentation and iteration of machine learning models.
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 Documentation: Maintain comprehensive documentation for models, experiments, and processes.
 
 
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 </ul>
 
 Qualifications
 
 
 
 
 Education:
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent experience).
 
 
 
 Technical Skills
 
 
 
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 Strong programming skills in Python, R, or similar languages.
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 Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
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 Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL.
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 Experience with big data technologies such as Spark, Hadoop, or similar.
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 Knowledge of cloud platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML).
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 Familiarity with MLOps practices and tools for CI/CD in machine learning workflows.
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 Understanding of data visualization tools like Matplotlib, Seaborn, or Tableau.
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 Strong grasp of statistical methods, probability, and optimization techniques.
 
 
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 Experience
 
 
 
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 3&ndash;5 years of experience in machine learning, data science, or a related field.
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 Proven experience building and deploying machine learning models in production.
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 Experience with natural language processing (NLP), computer vision, or time-series analysis is a plus.
 
 
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 Soft Skills
 
 
 
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 Strong problem-solving and analytical thinking abilities.
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 Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
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 Ability to work independently and collaboratively within a team.
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 Curiosity and eagerness to stay updated on the latest advancements in machine learning and AI.
 
 
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 About The Company
 
 
 
 Datamaze is a dynamic company specializing in AI, Data, and Analytics consulting services. We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence. With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization. Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives. The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation.
 
 
 Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge.
 
 
 Apply Now
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Machine Learning Engineer / Data Scientist (Mid-Level)

Wotek FZE

Position: Sales &amp; Technical Intern (1 Year Internship Program) Department: AC&amp;R &ndash; HVAC Product Sales &amp; Marketing Experience: Fresh Engineering Graduates Only Location: Dubai, UAE Duration: 12 Months (Internship Program) Program Overview:We are offering a 1-year structured internship program for a motivated fresh graduate in Mechanical or Electrical Engineering (mandatory). The intern will gain practical exposure to HVAC sales, technical product applications, and client engagement processes.The role supports the sales team in promoting HVAC products under close supervision and guidance of senior professionals.This program is designed to develop industry ready skills in HVAC sales, technical coordination, and business development support.Key Responsibilities1. Sales Support &amp; Coordination<ul><li>Assist the sales team in preparing quotations, offers, product selection and supporting documentation.</li><li>Follow up on inquiries, proposals, and customer communications under supervision.</li><li>Maintain records of sales activities and updates in coordination systems.</li></ul>2. Client &amp; Project Support<ul><li>Support senior team members during meetings with clients, consultants, and contractors.</li><li>Assist in gathering project requirements and technical inputs.</li><li>Help coordinate communication between internal teams and externalstakeholders.</li></ul>3. Technical Learning &amp; Product Exposure<ul><li>Gain understanding of HVAC systems and components especially chilled water valves, BTU meter etc.</li><li>Support coordination with manufacturers for technical data, pricing, and approvals.</li></ul>4. Administrative &amp; Reporting Support<ul><li>Assist in preparing weekly/monthly activity reports.</li><li>Support follow-ups on quotations and pending orders.</li><li>Maintain proper documentation of client interactions and project updates.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s Degree in Mechanical Engineering or Electrical Engineering (Mandatory)</li><li>Recent graduate</li><li>Based in Dubai/UAE</li><li>Strong interest in HVAC systems and technical sales</li></ul>Preferred Skills<ul><li>Basic academic knowledge of HVAC systems</li><li>Good communication skills (English required; Arabic is a plus)</li><li>Eagerness to learn technical and commercial aspects of sales</li><li>Strong coordination and interpersonal skills</li></ul>Key Competencies<ul><li>Learning mindset and adaptability</li><li>Teamwork and collaboration</li><li>Attention to detail</li><li>Communication and coordination</li><li>Customer-oriented attitude</li></ul>Internship OutcomesBy the end of the 1-year program, the intern is expected to:<ul><li>Understand HVAC sales processes and project lifecycle</li><li>Gain technical knowledge of key HVAC products</li><li>Develop basic client handling and coordination skills</li><li>Be capable of handling junior sales engineer responsibilities</li></ul>Pay: AED945.82 - AED2,000.00 per monthApplication Question(s):<ul><li>Are you an engineering Graduate in Electrical or Mechanical field?</li><li>Are you a Fresher?</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

Sales & Technical Intern (1 Year Internship Program)

ByteDance

<div>
 
 Responsibilities
 
 
 
 About the Team
 
 
 The Corporate Service System team aims to deliver advanced product solutions in the corporate service domain for better management efficiency and user experience of staff services. We build intelligent decision-making platforms for business owners and build efficient &amp; comfortable office lifestyles for employees. We also encourage creative ideas and lots of innovative products are grown from our daily work.
 
 
 As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
 
 
 Applications will be reviewed on a rolling basis - we encourage you to apply early.
 
 
 Successful candidates must be able to commit to at least 3 months long internship period.
 
 
 
 Job Responsibilities
 
 
 
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 Assist in the design, development, testing, and deployment of software solutions.
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 Write clean, efficient, and maintainable code following best practices.
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 Collaborate with senior engineers to solve technical challenges.
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 Participate in code reviews, debugging, and performance optimization.
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 Develop and maintain technical documentation.
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 Work with cross-functional teams, including product managers, designers and quality assurances, to deliver high-quality features.
 
 
 
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 </ul>
 
 Qualifications
 
 
 
 Minimum Qualifications:
 
 
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 Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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 Proficiency in at least one programming language (e.g., Golang, Java, C++, Python).
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 Understanding of data structures, algorithms, and software development principles.
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 Experience with version control systems (e.g., Git), databases (SQL or NoSQL) and cloud services (e.g., AWS, Azure).
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 Strong problem-solving skills and a willingness to learn.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
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 Experience with AI, Machine Learning, or Large Language Models (LLMs).
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 Familiarity with frameworks or technologies such as Spring Boot, TensorFlow, PyTorch, Hugging Face.
 </li>
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 Knowledge of DevOps, CI/CD, or containerization tools (e.g., Docker, Kubernetes).
 
 
 
 </li>
 </ul>
 By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
 
 
 Job Information
 
 
 
 About Us
 
 
 
 Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
 
 Why Join ByteDance
 
 
 Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
 
 As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
 
 Diversity &amp; Inclusion
 
 
 ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
 
</div>

Backend Software Engineer Project Intern (Corporate Service System) - 2026 Start (BS/MS)

Dezzex

Who we are?Dezzex uses Artificial Intelligence and Machine Learning technologies to advance the motor insurance industry by creating a system to automate claims. We use these technologies to improve insurance processes, reduce operational costs and enable a seamless customer experience. Our solution offering is also designed for the insurance companies, Insurance companies, Smart cities application.For applying as a Sr. Machine Learning Engineer, the person should have overall 7-8 years of experience out of which 4-5 years of experience should be in Machine &amp; Deep Machine learning. Especially using Convolution Neural Network (CNN), Image Analytics TensorFlow, Open CV etc.For applying as just a data scientist (Junior), the person needs to have experience of 3 - 9 years.With our fast-growing data scientist's team, we are looking to hire self-motivated smart individuals who are willing to take challenges in the field of Al image &amp; video analytics &amp; machine learning.Responsibilities:The Machine &amp; Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) &amp; ML solutions based on our reference architecture which is underpinned by big data &amp; cloud technology, micro-service architecture and high performing compute infrastructure.Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.Required Skills:An ideal candidate will have background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source librariesStrong coding skills and fundamentals in data structures, predictive modelling and big data concepts Experience in designing full stack ML solutions in a distributed compute environmentExperience working with Python, Tensor Flow, Kera's, Sci-kit, pandas, NumPy, AZURE, AWS GPU Excellent communication skills with multiple levels of the organizationPay: AED10,000.00 - AED20,000.00 per monthExperience:<ul><li>ML: 3 years (Required)</li><li>Development: 5 years (Required)</li></ul>Language:<ul><li>Arabic (Preferred)</li></ul>Work Location: In person

Sr. Machine learning engineer.

Jorofy Private Limited

We are seeking a highly skilled Senior AI Engineer (PhD) to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.Key ResponsibilitiesAI Research &amp; Innovation<ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul>Solution Design &amp; Development<ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul>Generative AI &amp; LLM Engineering<ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul>MLOps &amp; Deployment<ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul>Leadership &amp; Collaboration<ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul>Required QualificationsEducation<ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul>Experience<ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul>Technical SkillsProgramming<ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul>AI/ML Frameworks<ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul>Generative AI &amp; LLM Technologies<ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul>Cloud Platforms<ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul>MLOps &amp; DevOps<ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul>Preferred Qualifications<ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul>Core Competencies<ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul>Key Deliverables<ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul>Experience Required: 8&ndash;15+ Years Education: PhD (Mandatory) Level: Senior / Lead Individual Contributor or Technical Lead Role.Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Senior Engineer: 10 years (Required)</li></ul>Work Location: In person

Senior AI Engineer (PhD)

Huspy

<div>
 
 The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
 
 
 
 Huspy is one of the leading property technology companies in EMEA.
 
 
 Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.
 
 
 We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 
 
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.
 
 
 We&rsquo;re not slowing down. The question is: will you be part of what&rsquo;s next?
 
 
 
 The Main Event: What You&rsquo;ll Drive, Build, and Own
 
 
 
 You will be working closely with Product, Data, and Engineering teams responsible for developing and enhancing AI-powered solutions across our Real Estate Agent Platform and Mortgage Broker Portal. You'll leverage modern machine learning technologies and cloud infrastructure to build intelligent, data-driven products in an innovative and collaborative environment.
 
 
 
 Tech stack:
 
 Python, PostgreSQL, AWS, FastAPI
 
 
 
 Hands-On Engineering:
 
 Contribute to the development, deployment, and optimisation of machine learning models and AI-driven services. Take ownership of key technical deliverables while leading by example in engineering best practices.
 
 
 
 Machine Learning Excellence:
 
 Drive best practices in machine learning development, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring. Ensure solutions are scalable, reliable, and maintainable in production environments.
 
 
 
 Stakeholder Collaboration:
 
 Work closely with Product, Data, Design, and Engineering teams to identify opportunities for AI-driven innovation, translate business requirements into technical solutions, and deliver measurable impact.
 
 
 
 The Perfect Match: What It Takes to Succeed at Huspy
 
 
 
 
 AI/ML Engineering Experience:
 
 Strong technical background in Python and machine learning, with a passion for building intelligent products and solving complex data-driven challenges.
 
 
 
 Product-Focused Mindset:
 
 Ability to work cross-functionally and collaborate with Product, Data, and Engineering teams to deliver impactful AI-powered solutions that enhance customer experiences and business outcomes.
 
 
 
 Technical Expertise:
 
 Experience developing and deploying machine learning models using Python and modern ML frameworks. Strong knowledge of data processing, model lifecycle management, APIs, CI/CD, cloud platforms (AWS preferred), and production-grade software engineering practices. Experience in AI development practices and tools is a must-have.
 
 
 
 Data &amp; Machine Learning Knowledge:
 
 Experience working with structured and unstructured data, feature engineering, model evaluation, experimentation, and performance optimisation. Familiarity with MLOps practices and model monitoring is highly desirable.
 
 
 
 Collaborative Attitude:
 
 Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders while fostering an inclusive, engaging team environment.
 
 
 
 Work Setup:
 
 Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai, if preferred.
 
 
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
 
 
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
</div>

AI Engineer

Explore 164+ Machine learning intern in Dubai this July. Find roles across top companies and apply now to boost your career.