Production ML Engineer – LLMs, GPUs & MLOps

Involved Solutions; Dubai; On-site; AED 350,000 - 520,000; Full time

Job summary

Involved Solutions partners with a fast-growing UAE technology business to hire a Machine Learning Engineer. The role focuses on applying cutting-edge ML to live production systems on serious GPU infrastructure.

You will fine-tune foundation models, build production agentic systems, optimise inference, and collaborate with product and engineering teams to turn business problems into measurable ML solutions that drive real outcomes.

Qualifications

• 5 years of hands-on ML engineering with production deployments
• Strong Python and PyTorch experience; Hugging Face Transformers
• Experience with LLMs in production, fine-tuning and evaluation
• Solid grounding in MLOps and cloud ML platforms on AWS, Azure or GCP
• Experience with model serving or a willingness to dive deep on it
• Exposure to multimodal models or distributed training is a plus

Responsibilities

• Fine-tune and adapt open-source and proprietary foundation models using techniques such as LoRA, QLoRA, DPO and RLHF, including multilingual and Arabic language use cases
• Build and ship production agentic systems with tool use, multi-step reasoning, retrieval and orchestration
• Optimise inference for latency and cost using quantisation, distillation and serving frameworks such as vLLM and TensorRT-LLM
• Design evaluation frameworks that measure model quality, safety and drift in live environments
• Build the MLOps backbone covering training pipelines, experiment tracking, model registries, CI/CD for ML and monitoring on GPU infrastructure
• Work with product and engineering teams to turn business problems into ML systems that ship and move the numbers

Skills

Python

PyTorch

Transformers

MLOps

Cloud ML

LLMs in prod

Model serving

GPU clusters

Multimodal models

Deployment

Job description

Involved Solutions partners with a fast-growing UAE technology business to hire a Machine Learning Engineer. The role focuses on applying cutting-edge ML to live production systems on serious GPU infrastructure.

You will fine-tune foundation models, build production agentic systems, optimise inference, and collaborate with product and engineering teams to turn business problems into measurable ML solutions that drive real outcomes.