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AI/ML Intern – Full-Stack AI Solutions Development

Solanalytics

United Arab Emirates

On-site

AED 60,000 - 120,000

Full time

30+ days ago

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Job summary

An innovative tech company located in the United Arab Emirates is seeking an AI/ML Intern to design, develop, and deploy AI-powered solutions. The intern will engage in building AI/ML models and applications while gaining hands-on experience and mentorship from industry experts. This is an unpaid internship for a duration of 3-6 months with on-site work.

Benefits

Hands-on experience
Exposure to cutting-edge AI technologies
Mentorship from industry experts

Qualifications

  • Strong programming skills with proficiency in Python and another language.
  • Hands-on experience in building web or desktop applications.
  • Familiarity with LLM frameworks and AI systems.

Responsibilities

  • Build, train, and optimize machine learning models.
  • Develop scalable applications or platforms to host AI/ML models.
  • Collaborate with teams to define product requirements.

Skills

Proficiency in Python
Problem-Solving Skills
Knowledge of core machine learning algorithms

Tools

TensorFlow
PyTorch
Job description

We are looking for a passionate AI/ML Intern to help us design, develop, and deploy AI-powered solutions and products. This role involves building both AI/ML models and the applications or platforms where these models will be utilized. The ideal candidate should have strong programming skills, a solid understanding of machine learning and AI concepts, and the ability to develop end-to-end solutions, including applications leveraging LLMs (Large Language Models) and agentic systems.

Responsibilities
AI/ML Model Development
  • Build, train, and optimize machine learning models for various use cases.
  • Research and integrate Large Language Models (LLMs) and agent-based AI systems.
Application/Platform Development
  • Develop scalable applications or platforms to host AI/ML models.
  • Implement APIs or integrations to enable seamless interaction with AI systems.
End-to-End Solution Design
  • Collaborate with cross-functional teams to define product requirements and workflows.
  • Ensure high-quality delivery by testing and debugging applications and models.
Problem Solving and Optimization
  • Identify technical challenges and propose innovative solutions.
  • Optimize performance and scalability of AI models and applications.
Exploration of Emerging Technologies
  • Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
  • Experiment with state-of-the-art frameworks and libraries.
Requirements
Programming Skills
  • Proficiency in Python and at least one other programming language (e.g., C, Java, etc.).
  • Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.
Experience in Application Development
  • Hands-on experience in building and deploying web or desktop applications.
  • Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.
Machine Learning & AI Expertise
  • Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
  • Experience working with real-world datasets and developing models to solve practical problems.
LLM and Agentic Systems Exposure
  • Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
  • Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.
Problem-Solving Skills
  • Strong analytical and critical thinking abilities to solve complex problems efficiently.
  • Ability to work independently or in a team to deliver innovative solutions under deadlines.
What You’ll Gain
  • Hands-on experience in designing and deploying AI-powered products from scratch.
  • Exposure to cutting-edge AI technologies and frameworks.
  • Mentorship from industry experts and an opportunity to work on impactful projects.

Duration: 3-6 Months
Location: Onsite
Compensation: Unpaid

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