Senior AI/ML Engineer — GenAI, RAG & Production

AMAN; Muscat; On-site; OMR 15,000 - 26,000; Full time

Job summary

AMAN in Muscat, Oman seeks a Machine Learning Engineer to translate business problems into clearly defined ML use cases, build data pipelines and train models, and deploy AI solutions across cloud and on-prem environments.

You will collaborate with product, software and infrastructure teams to prototype, evaluate and operationalise AI capabilities, including LLMs, RAG and document understanding, while emphasising privacy, security and scalable performance.

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, Engineering or a related field.
• 3–5 years of relevant professional experience in ML/AI or related roles.
• Hands-on experience developing, deploying or evaluating ML/AI solutions.
• Strong Python and ML framework experience; practical model development.
• Experience with LLMs, embeddings, vector search and RAG is an advantage.
• Experience with APIs, databases, containerisation and deployment pipelines.

Responsibilities

• Translate business requirements into clearly defined ML use cases.
• Prepare, validate and transform datasets for model development.
• Develop data-processing and machine-learning pipelines.
• Build, train, fine-tune and evaluate ML models using appropriate techniques.
• Develop generative AI and LLM applications, including RAG and semantic search.
• Build AI solutions that interact securely with tools and enterprise systems.
• Design AI solutions for enterprise data privacy, access control and compliance.
• Collaborate with product, software and infrastructure teams throughout the lifecycle.

Skills

Python

LLMs

RAG

Embeddings

APIs

Data pipelines

MLOps

NLP

Statistics

Problem solving

Education

Bachelor’s degree in Computer Science, AI, Data Science, Engineering or related field

Tools

PyTorch

TensorFlow

scikit-learn

Docker

Git

SQL

Cloud platforms

Job description

AMAN in Muscat, Oman seeks a Machine Learning Engineer to translate business problems into clearly defined ML use cases, build data pipelines and train models, and deploy AI solutions across cloud and on-prem environments.

You will collaborate with product, software and infrastructure teams to prototype, evaluate and operationalise AI capabilities, including LLMs, RAG and document understanding, while emphasising privacy, security and scalable performance.