Production ML Engineer: LLMs, Agents & MLOps

Client of Involved Solutions; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Client of Involved Solutions is partnering with a fast-scaling UAE technology business to hire a Machine Learning Engineer. The role centers on cutting-edge applied AI, deploying models to live production and measuring commercial impact.

You will fine-tune foundation models, build agentic systems with tool use and multi-step reasoning, and optimise inference on GPU infrastructure with autonomy and strong compute access.

Qualifications

• 5 years of hands-on experience in machine learning engineering, with a track record of deploying models into production.
• Strong Python and deep experience with PyTorch, plus Hugging Face Transformers or equivalent.
• Practical experience with LLMs in production, including fine-tuning, RAG and evaluation.
• Solid grounding in MLOps and cloud ML platforms on AWS, Azure or GCP.
• Experience with model serving and inference optimisation, or a clear appetite to go deep on it.
• Exposure to multimodal models, distributed training or GPU cluster work is a strong advantage.
• Based in the UAE or willing to relocate.

Responsibilities

• Fine-tune and adapt foundation models using LoRA, QLoRA, DPO and RLHF.
• Build and ship production agentic systems with tool use and multi-step reasoning.
• Optimize inference for latency and cost with quantisation and distillation.
• Design evaluation frameworks for model quality, safety and drift.
• Develop the MLOps backbone: training pipelines, CI/CD for ML and monitoring on GPU infrastructure.
• Collaborate with product and engineering to turn business problems into ML solutions.

Skills

Python

PyTorch

Transformers

LLMs

MLOps

AWS

Azure

GCP

Model serving

GPU clusters

Multimodal

Distributed training

vLLM

TensorRT-LLM

Tools

LoRA

QLoRA

DPO

RLHF

vLLM

TensorRT-LLM

Job description

Client of Involved Solutions is partnering with a fast-scaling UAE technology business to hire a Machine Learning Engineer. The role centers on cutting-edge applied AI, deploying models to live production and measuring commercial impact.

You will fine-tune foundation models, build agentic systems with tool use and multi-step reasoning, and optimise inference on GPU infrastructure with autonomy and strong compute access.