Senior Software Engineer - AI/ML & Cloud Production

ARRAY INNOVATION; Capital Governorate; On-site; BHD 18,000 - 29,000; Full time

Job summary

ARRAY INNOVATION in Bahrain is seeking an experienced Software Engineer to design, build, and deploy production-grade software leveraging Python and ML capabilities. You will own features end-to-end, contribute to architecture, and mentor a small team in a fast-paced environment.

You will work across cloud platforms (AWS/AZURE/GCP), implement CI/CD, and ensure robust ML pipelines with monitoring and retraining. Strong collaboration with stakeholders is essential to deliver scalable solutions.

Qualifications

• Bachelor’s or Master’s in CS/Software Eng or related field.
• 5-8 years of hands-on Python experience.
• Production AI/ML model development and deployment experience.
• Proficient in PyTorch, scikit-learn, and modern AI tooling.
• Strong software architecture, patterns, and best practices.
• Proficiency with CI/CD tools for efficient delivery.
• Excellent problem-solving, analytical, and collaboration skills.
• Experience in Agile environments; mentoring engineers.

Responsibilities

• Design, develop, and implement software solutions using Python.
• Own full machine learning lifecycle inside deployed products.
• Maintain high coding standards, perform code reviews, mentor juniors.
• Contribute to technical direction and project success.
• Create and maintain concise documentation for code and design.
• Troubleshoot complex issues with stakeholders.
• Architect scalable cloud solutions (AWS/Azure/GCP).
• Develop and manage CI/CD pipelines.
• Establish monitoring and retraining/rollback pipelines for ML models.

Skills

Python programming

AI/ML deployment

Agile development

Team mentorship

Education

Bachelor’s/Master’s degree in CS/SE

Tools

PyTorch

scikit-learn

CI/CD tooling

Job description

ARRAY INNOVATION in Bahrain is seeking an experienced Software Engineer to design, build, and deploy production-grade software leveraging Python and ML capabilities. You will own features end-to-end, contribute to architecture, and mentor a small team in a fast-paced environment.

You will work across cloud platforms (AWS/AZURE/GCP), implement CI/CD, and ensure robust ML pipelines with monitoring and retraining. Strong collaboration with stakeholders is essential to deliver scalable solutions.