AIML Engineer | LLMs

Aqary Investement And Development; Abu Dhabi; On-site; AED 240,000 - 480,000; Full time

Job summary

Aqary Investement And Development is hiring an AI & Data Engineer to design scalable AI systems and data-driven products for production environments. The role involves building data pipelines, integrating Large Language Models, deploying ML models, and collaborating with engineering, product, and DevOps teams.

Experience with cloud platforms and container technologies is advantageous. You will ensure data quality, monitor model performance, and optimize systems for reliability and scalability,

Qualifications

• Proficient in Python and AI/ML concepts.
• Experience with Large Language Models (LLMs) like GPT/LLaMA.
• Built data pipelines for large datasets.
• Strong SQL/NoSQL knowledge.
• Familiarity with MLOps and model deployment.
• Experience with TensorFlow or PyTorch.
• Strong problem-solving and analytical skills.

Responsibilities

• Design and develop AI solutions using ML models and LLMs.
• Build and maintain data pipelines for processing, transformation and analysis.
• Collect, clean and prepare large datasets for training and evaluation.
• Develop and optimize ML and DL models.
• Integrate LLMs into applications and systems (APIs, chatbots, AI services).
• Work with SQL and NoSQL databases.
• Improve model performance, scalability and reliability.
• Implement and maintain MLOps and deployment workflows.
• Monitor data quality and model performance in production.
• Collaborate with engineering, product and DevOps teams.

Skills

Python

ML & DL concepts

LLMs (GPT/LLaMA)

Data pipelines

SQL/NoSQL

MLOps

TensorFlow / PyTorch

Analytical skills

Tools

Docker

Kubernetes

PostgreSQL

RESTful API design

Git

Job description

We are looking for a skilled AI & Data Engineer with strong experience in building data-driven systems and AI solutions with a focus on Large Language Models (LLMs). You will be responsible for designing scalable AI systems and transforming data into intelligent products used in production environments.

Responsibilities

• Design and develop AI solutions using Machine Learning models and Large Language Models (LLMs).
• Build and maintain data pipelines for processing transformation and analysis.
• Collect clean and prepare large datasets for training and evaluation.
• Develop and optimize machine learning and deep learning models.
• Integrate LLMs into applications and systems (APIs chatbots AI services).
• Work with SQL and NoSQL databases.
• Improve model performance scalability and reliability.
• Implement and maintain MLOps and deployment workflows.
• Monitor data quality and model performance in production.
• Collaborate with engineering product and DevOps teams.

Requirements

• Strong experience with Python.
• Solid understanding of Machine Learning and Deep Learning concepts.
• Hands-on experience with Large Language Models (LLMs) such as GPT LLaMA or similar.
• Experience building data pipelines and working with large datasets.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with MLOps and model deployment practices.
• Experience with frameworks such as TensorFlow or PyTorch.
• Strong analytical and problem-solving skills.

Nice to Have

• Experience with Retrieval-Augmented Generation (RAG).
• Experience with cloud platforms (AWS / Azure / GCP).
• Experience with Docker and Kubernetes.
• Experience building AI Agents or intelligent chatbots.

Required Skills:

Strong experience with Python. Solid understanding of Machine Learning and Deep Learning concepts. Hands-on experience with Large Language Models (LLMs) such as GPT LLaMA or similar. Experience building data pipelines and working with large datasets. Strong knowledge of SQL and NoSQL databases. Familiarity with MLOps and model deployment practices. Experience with frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills. Nice to Have: Experience with Retrieval-Augmented Generation (RAG). Experience with cloud platforms (AWS / Azure / GCP). Experience with Docker and Kubernetes. Experience building AI Agents or intelligent chatbots. ecosystems. Hands-on experience with PostgreSQL including database design optimization and management. Experience with RESTful API design and development. Familiarity with version control systems (e.g. Git). Solid understanding of software development principles and methodologies. Experience with cloud services and infrastructure (e.g. AWS GCP Azure) is a plus. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment.