AI/ML Engineer – LLMs, Applied AI
TRG Research and Development
full-time
Posted on:
Location Type: Remote
Location: United Arab Emirates
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About the role
- Curate, preprocess, and manage datasets for LLM and classical models training and evaluation.
- Fine-tune LLMs using techniques such as LoRA, QLoRA, or RLHF.
- Design evaluation pipelines and metrics to ensure model accuracy, robustness, and alignment with product goals.
- Integrate fine-tuned LLMs into production systems, supporting iterative improvements.
- Collaborate with cross-functional teams to translate domain knowledge and business requirements into applied AI solutions.
Requirements
- Strong Python programming, agile engineering mindset and data engineering skills.
- Hands-on experience with LLM frameworks (Hugging Face, PyTorch, TensorFlow).
- Expertise in dataset curation, preprocessing, and annotation for ML/AI tasks.
- Proven experience fine-tuning and validating LLMs.
- Knowledge of prompt engineering, model evaluation, and deployment best practices.
- Familiarity with AI agent frameworks or retrieval-augmented generation (RAG).
- Experience with reinforcement learning for language models (RLHF).
- Exposure to cloud-based ML pipelines (AWS, GCP, Azure).
- Background in classical ML (vision, time-series, tabular) is a plus.
- Familiarity with MLOps tools is a plus
Benefits
- Working from home
- Flexible hours because we promote work-life balance.
- Yearly performance bonus to reward good performance and hard work.
- Paid medical insurance because we like to take care of you.
- Daily lunch allowance so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day.
- Sport/Gym(Exercise) allowance to focus more on yourself, your well-being, and your health.
- Udemy unlimited subscription to promote your learning and development and grow your career.
- Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role.
- Equipment support so you have all the tools to do effectively and efficiently your work.
- No dress code because we want you to be as comfortable as possible.
- Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones.
- Happy hours, coffee time, online team building, company events, and much more to promote team bonding and of course to have fun!
- Fresh fruit, snacks, coffee, and tea at the office because work makes us hungry!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythondataset curationdata preprocessingLLM frameworksHugging FacePyTorchTensorFlowfine-tuning LLMsreinforcement learningprompt engineering
Soft skills
agile engineering mindsetcollaborationdomain knowledge translationbusiness requirements understanding