Machine Learning Engineer

Info Resume Edge; Sharjah; On-site; AED 200,000 - 300,000; Full time

Job summary

An innovative tech company in Sharjah is looking for a skilled Machine Learning Engineer to design and deploy ML models. The successful candidate will work closely with data scientists and engineers, analyzing data and optimizing models for real-time deployment. A strong background in Python and machine learning algorithms is required, along with experience in cloud platforms. Competitive compensation offered.

Qualifications

• Proven experience with deep learning and NLP.
• Experience with tools for MLOps practices.

Responsibilities

• Design and implement machine learning algorithms and models.
• Preprocess and analyze large datasets.
• Collaborate with cross-functional teams.
• Train and evaluate model performance.
• Optimize models for real-time deployment.

Skills

Python

Machine Learning Algorithms

Data Analysis

Docker

Kubernetes

SQL

NoSQL

TensorFlow

PyTorch

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or related field

Tools

MLflow

Airflow

Kubeflow

Job description

We are looking for a skilled and innovative Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing and deploying machine learning models and data‑driven solutions that improve business outcomes. You will work closely with data scientists, software engineers and product teams to turn data into actionable intelligence.

Key Responsibilities

• Design and implement machine learning algorithms and models for various applications.
• Preprocess, clean and analyze large datasets from diverse sources.
• Collaborate with cross‑functional teams to define project requirements and success metrics.
• Train, test and evaluate model performance using industry‑standard metrics.
• Optimize models for scalability and real‑time deployment.
• Deploy models into production using tools such as Docker, Kubernetes or cloud services (AWS, Azure, GCP).
• Monitor and maintain deployed models for accuracy and performance.
• Document code, models and processes for future reference.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or a related field.
• Proven experience with Python and libraries such as TensorFlow, PyTorch, Scikit‑learn, etc.
• Strong understanding of machine learning algorithms, data structures and software engineering principles.
• Experience with SQL and NoSQL databases.
• Familiarity with cloud platforms and MLOps practices.
• Excellent problem‑solving and analytical skills.
• Strong communication and teamwork abilities.

Preferred Qualifications

• Ph.D. in a related field.
• Experience in deep learning, NLP, computer vision or recommendation systems.
• Experience with tools such as MLflow, Airflow or Kubeflow.
• Contributions to open‑source ML projects or published research papers.