Machine Learning Engineer

TASC Outsourcing; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading outsourcing firm in Dubai is seeking a Machine Learning Engineer to design and implement cutting-edge machine learning solutions. You will develop applications focusing on Natural Language Processing (NLP) and collaborate with cross-functional teams to ensure the effective deployment and integration of ML models. Ideal candidates will possess strong skills in TensorFlow, PyTorch, and scikit-learn, with 5-10 years of relevant experience and a solid understanding of ML best practices.

Qualifications

• 5-10 years of professional experience in machine learning, data science, or related roles.
• Strong experience in NLP techniques, tools, and frameworks.
• Expertise in deploying and scaling machine learning models in production.

Responsibilities

• Design, build, and optimize machine learning models using TensorFlow, PyTorch, and scikit‑learn.
• Develop and implement NLP applications for text analytics, sentiment analysis, and language understanding.
• Deploy, monitor, and maintain ML models in production environments.

Skills

TensorFlow

PyTorch

scikit-learn

NLP techniques

Python

Problem-solving

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

About the Role:

As a Machine Learning Engineer based in Dubai, you will design, build, and deploy state‑of‑the‑art machine learning models, with a focus on NLP applications, to deliver scalable solutions that drive innovation and efficiency across the organization.

Responsibilities:

• Design, build, and optimize machine learning models using TensorFlow, PyTorch, and scikit‑learn
• Develop and implement NLP applications for text analytics, sentiment analysis, and language understanding
• Deploy, monitor, and maintain ML models in production environments to ensure reliability and performance
• Collaborate with data engineers, software developers, and stakeholders to integrate ML solutions into products and workflows
• Conduct model performance evaluation, hyperparameter tuning, and A/B testing
• Document ML processes, code, and architectures to support knowledge sharing and compliance
• Mentor and guide junior engineers on ML best practices and emerging techniques

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 5‑10 years of professional experience in machine learning, data science, or related roles
• Proficiency in TensorFlow, PyTorch, and scikit‑learn for model development
• Strong experience in NLP techniques, tools, and frameworks
• Expertise in deploying and scaling machine learning models in production
• Advanced programming skills in Python and familiarity with relevant libraries
• Excellent problem‑solving abilities and communication skills

Preferred Qualifications:

• Master’s degree or PhD in Machine Learning, AI, or a related discipline
• Hands‑on experience with cloud platforms such as AWS, GCP, or Azure
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Experience with MLOps frameworks and CI/CD pipelines for ML workflows
• Prior leadership or mentorship experience within ML teams
• Knowledge of Big Data technologies (e.g., Spark, Hadoop)
• Experience with real‑time machine learning and streaming data processing