Machine Learning Engineer

Machine Learning Engineer

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 (not just experimentation — production-level deployment and scale)
• 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

30K AED P/M + Benefits