Machine Learning Engineer (Remote)

Quik Hire Staffing; United Arab Emirates; Remote; AED 441,000 - 661,000; Full time

Job summary

Quik Hire Staffing is seeking a Machine Learning Engineer for a full-time, remote role. You will design, develop, and deploy ML models to solve business challenges, collaborating with cross-functional teams to integrate AI solutions into existing systems.

You will work with Python, TensorFlow or PyTorch, and cloud platforms to optimize model performance, build data pipelines, and evaluate experiments to drive impactful results.

Qualifications

• Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
• Strong background in data structures, algorithms, and statistics.
• Experience with cloud platforms for deployment and scaling.
• Knowledge of SQL for data extraction and preprocessing.
• Familiarity with version control and collaborative workflows.
• Understanding of MLOps for monitoring and CI.
• Experience with hyperparameter tuning and model optimization.
• Ability to work independently in a fast-paced environment.

Responsibilities

• Design and implement ML models using Python, TensorFlow, or PyTorch to address specific business problems.
• Collaborate with data scientists and software engineers to deploy models into production environments.
• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.
• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Skills

Python

Data structures

Algorithms

Statistical modeling

MLOps

Cloud platforms (AWS/GCP/Azure)

SQL

Git

Hyperparameter tuning

Tools

TensorFlow

PyTorch

Job description

• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-Time basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.

Key Responsibilities:

• Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.
• Collaborate with data scientists and software engineers to deploy models into production environments.
• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.
• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Required Skills & Qualifications:

• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong background in data structures, algorithms, and statistical modeling techniques.
• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
• Knowledge of SQL and databases for data extraction and preprocessing tasks.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Understanding of MLOps practices for model monitoring, logging, and continuous integration.
• Experience with hyperparameter tuning and model optimization techniques.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.