Machine Learning Engineer - LLMs, RAG & GenAI forGovernment & Public Sector

Apt Resources; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. This role involves designing and deploying advanced AI/ML solutions to improve public services and requires deep expertise in LLMs, prompt engineering, and scalable cloud solutions. Ideal candidates will have extensive experience and proficiency in relevant technologies, contributing to impactful government projects.

Qualifications

• 6-14 years of hands-on experience in AI/ML with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures, prompt engineering, and RAG implementations.
• Proficiency in Python and ML frameworks.

Responsibilities

• Develop and optimize AI/ML pipelines for LLMs focusing on RAG architectures.
• Implement scalable solutions using Python and cloud-based ML services.
• Deploy and monitor models in production ensuring adherence to government standards.

Skills

Machine Learning

AI Solutions

Python

RAG Architectures

Tools

LangChain

HuggingFace

PyTorch

TensorFlow

Azure ML

Job description

Description

Apt
Resourcesis seeking an
experiencedMachine Learning
Engineerfor aclient in Abu Dhabis
Government & Public Sector. In this role you
will design and deploy cutting-edge AI/ML solutions using Large
Language Models (LLMs) like GPT Llama and BERT to drive innovation
in public services.

This is an exciting
opportunity to work on high-impact projects
involvingRetrieval-Augmented Generation (RAG)
fine-tuning and prompt engineering ensuring secure
scalable and compliant AI systems for government
applications.

Key
Responsibilities:

• Develop and optimizeAI/ML
  pipelinesfor LLMs focusing onRAG
  architectures fine-tuning and prompt
  engineeringtailored for public sector
  needs.
• Implement scalable solutions
  usingPython LangChain HuggingFace
  PyTorch/TensorFlow and cloud-based ML services
  (Azure MLpreferred).
• Integratevector/graph
  databases(Weaviate Neo4j) into production systems to
  enhance data retrieval and analysis.
• Deploy
  and monitor models in production ensuring adherence
  togovernment security and compliance
  standards.
• Collaborate with
  cross-functional teams to align AI solutions
  withpublic sector objectives(e.g.
  citizen services data governance operational
  efficiency).

Requirements

• 6-14 yearsof hands-on
  experience inAI/ML with a strong focus
  onLLMs and GenAI.
• Expertise inLLM architectures
  (Transformers) prompt engineering and RAG
  implementations.
• Proficiency
  inPythonand ML frameworks
  (LangChain LlamaIndex HuggingFace
  Scikit-learn).
• Experience
  withcloud platforms (Azure ML AWS or
  GCP)andMLOps tools (MLflow model
  monitoring).
• Familiarity
  withvector databases ETL pipelines and unstructured
  data handling.
• Knowledge
  ofgovernment IT standards or secure
  deploymentsis a plus.

Benefits

To
be discussed

Key Skills

Children Activity,Graduate Engineering,Flight
Operations,Adobe Photoshop,Content Marketing,Broadcast
Employment Type : Full-Time
Experience: years

Vacancy: 1