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Machine Learning Engineer
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
Education
Tools
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.
- 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
- 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
- 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.