D
AI

AI / Machine Learning Engineer

Dotslab Marketing · Abu Dhabi, AZ, AE

Actively hiring Posted 5 months ago

Key Responsibilities

Design, build, and develop AI / Machine Learning models for production use

  • Train models and perform advanced fine-tuning where required
  • Prepare, clean, structure, and evaluate datasets for model training
  • Optimize model performance, accuracy, and reliability
  • Work on AI models supporting both Arabic and English languages
  • Prepare models for integration into full AI platforms and systems
  • Collaborate closely with product, content, and engineering teams
  • Contribute to building end-to-end AI solutions, not isolated models
  • Support deployment of models in **cloud and on-premise environments

Core Requirements**

  • Proven hands-on experience developing and training AI / ML models
  • Strong proficiency in Python and experience with PyTorch
  • Solid understanding of model architectures, evaluation, and optimization
  • Experience handling real-world data (cleaning, labeling, validation)
  • Ability to build models from scratch or enhance existing models
  • Strong applied problem-solving mindset with a focus on production systems

Strong Advantages (Highly Valued)

  • Experience with Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience working with the Arabic language in AI systems
  • Knowledge of RAG architectures, vector databases, or embedding systems
  • Experience deploying AI models on-premise or in restricted environments
  • Familiarity with model lifecycle management, monitoring, and iteration
  • Previous experience working on applied AI products or platforms

Job Type: Full-time

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Pytorch
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.