Machine Learning Engineer📣 Job Ad

About the Opportunity

Hire Feed is recruiting for a Machine Learning Engineer to join one of our clients in Saudi Arabia. This is a contract position focused on designing, developing, and deploying machine learning models to address complex business challenges. The role requires collaboration with cross-functional teams to integrate AI solutions into existing systems and optimize model performance.

Key Responsibilities

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

Required Qualifications and Skills

Candidates for this role should possess 2-5 years of experience in machine learning engineering or a related field. Essential expertise includes proficiency in Python, various machine learning frameworks, and cloud platforms. The ability to apply these skills to solve practical business problems is critical.

Work Details and Compensation

This is a contract position based in Saudi Arabia. The compensation for this role ranges from $20 to $90 per hour, commensurate with experience and qualifications. The work involves contributing to a global leader in the technology industry.

Role Impact

This position offers the opportunity to contribute to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The role involves addressing high-impact problems through the application of current tools and methodologies within a dynamic technology environment.

Commitment to Equal Opportunity

Hire Feed is committed to equal opportunity employment. All qualified candidates are encouraged to apply, irrespective of their background, experience, or prior employment history. Applications are evaluated solely on demonstrated technical ability and relevant qualifications.