Senior Machine Learning Engineer

applydubaijob.com; Dubai; In loco; AED 268.000 - 391.000; Tempo pieno

Descrizione del lavoro

Confidential is seeking a Senior Machine Learning Engineer to develop advanced AI solutions for enterprise applications. You will design, deploy, and optimize scalable ML models, focusing on LLMs, NLP, and RAG architectures, with on-prem deployment considerations.

Collaborate with cross-functional teams to deliver production-ready AI systems, monitor performance, and drive improvements in latency and accuracy in enterprise environments.

Competenze

• Bachelor’s degree in CS/AI/ML/Data Science required; 5+ years in ML engineering.
• Proficient in Python with PyTorch/TensorFlow and ML libraries.
• Experience deploying production ML systems with MLOps and on-prem environments.

Mansioni

• Develop and fine-tune Large Language Models (LLMs) and NLP pipelines for enterprise applications.
• Design and implement Retrieval-Augmented Generation (RAG) architectures and semantic search solutions.
• Build forecasting, anomaly detection, and optimization models; deploy and monitor in secure on-premise environments.

Conoscenze

Python

PyTorch

TensorFlow

NLP

RAG architectures

Formazione

Bachelor's degree in CS/AI/ML/Data Science

Strumenti

Docker

Kubernetes

MLflow

LangChain

Hugging Face

SQL

Descrizione del lavoro

Job Title: Senior Machine Learning Engineer

Company: Confidential

Location: Dubai, United Arab Emirates

Employment Type: Full Time

Salary: AED 24,000 – 35,000 per month (as estimated in source posting)

Candidate Prerequisites: 5+ Years ML Engineering (7–10 Preferred) | LLMs, NLP & RAG Architectures | Python, PyTorch & TensorFlow | Docker, Kubernetes & MLflow

Role Overview

A leading organization is seeking a Senior Machine Learning Engineer to develop advanced AI solutions for enterprise applications. This role is ideal if you’re an experienced professional with expertise in machine learning, large language models (LLMs), and production-grade AI systems capable of solving complex business challenges.

You’ll design, deploy, and optimize scalable machine learning solutions while working closely with cross-functional teams. The role focuses on building intelligent enterprise AI applications, Retrieval-Augmented Generation (RAG) architectures, semantic search capabilities, and secure on-premise deployments.

Key Responsibilities

• Develop and fine-tune Large Language Models (LLMs) and NLP pipelines for enterprise applications.
• Design and implement Retrieval-Augmented Generation (RAG) architectures and semantic search solutions.
• Build forecasting, supplier risk-scoring, anomaly detection, and optimization models.
• Deploy, optimize, and maintain machine learning models in secure on-premise environments.
• Automate model training, deployment, and inference pipelines using MLOps practices.
• Monitor model performance, reduce inference latency, and continuously improve AI solutions.
• Collaborate with engineering and business teams to deliver production-ready machine learning systems.

Requirements & Qualifications

• Education & Experience: Bachelor’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field (as estimated in source posting); minimum 5+ years of Machine Learning Engineering experience, with 7–10 years preferred.
• Technical Proficiency: Strong Python programming skills; hands‑on experience with PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy; experience with LLMs, Transformers, Hugging Face, LangChain, and RAG architectures; proficiency in Docker, Kubernetes, MLflow, SQL, and production ML deployment; experience handling structured and unstructured datasets, including technical documentation.
• Core Competencies: Strong analytical, problem-solving, and cross-functional collaboration skills.