Machine Learning Engineer

Jex - Recruitment for scaling businesses; Dubai; On-site; USD 80,000 - 120,000; Full time

Job summary

Join a fast-growing software house as a Machine Learning Engineer, where you'll design and deploy cutting-edge ML models that power innovative digital experiences. In this dynamic role, you'll collaborate with cross-functional teams to optimize scalable ML pipelines and contribute to the technical strategy of the ML team. This is an exciting opportunity to work on impactful projects in a collaborative environment, leveraging your expertise in Python and ML frameworks. If you're passionate about driving measurable outcomes through machine learning, this is the perfect role for you.

Qualifications

• 5+ years in software engineering or data science roles.
• 3+ years in machine learning engineering with production-level deployment.

Responsibilities

• Design and deploy machine learning models for real-world applications.
• Collaborate with teams to productionize ML systems and optimize ML pipelines.

Skills

Python

Machine Learning Engineering

TensorFlow

PyTorch

Scikit-learn

MLOps

Cloud Environments (AWS, GCP, Azure)

Data Structures and Algorithms

Problem-Solving

Job description

A fast-growing software house building intelligent, data-driven products that power the next generation of digital experiences.

As we expand our capabilities, we’re looking for a seasoned Machine Learning Engineer to join and help architect, build, and scale ML solutions across a variety of client and internal projects.

What You’ll Do

• Design, develop, and deploy machine learning models for real-world applications
• Collaborate with data scientists, product teams, and software engineers to productionize ML systems
• Optimize and maintain scalable ML pipelines (training, validation, and inference)
• Monitor model performance and implement continuous improvements
• Translate business needs into technical solutions with measurable outcomes
• Contribute to technical strategy, architecture, and mentorship within the ML team

What We’re Looking For

5+ years of professional experience in software engineering or data science roles

Minimum 3 years of hands-on experience in machine learning engineering (production-level deployment and scaling, not just experimentation)

Strong Python skills and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn

Experience building and deploying ML models in cloud environments (AWS, GCP, Azure)

Solid understanding of MLOps practices (versioning, reproducibility, CI / CD for ML, model monitoring)

Strong grasp of data structures, algorithms, and system design

Excellent problem-solving skills and ability to work in fast-paced, collaborative environments

Bonus Points

Experience with large language models or generative AI

Exposure to real-time inference or edge ML

Background in NLP, computer vision, or time-series modeling

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Software Development

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