Summary
✨ AI‑Generated
Join an ambitious engineering team as a Senior Software Engineer focused on Python and production-grade systems. You will design, develop, deploy, and operate scalable software while owning features end to end. The role also involves applied AI/ML, including data preparation, model selection and training, evaluation, deployment, monitoring, and optimization.
Highlights
End-to-end ownership of production software and applied AI/ML, with opportunities to build scalable enterprise systems and work across the full machine learning lifecycle.
Description
COMPANY OVERVIEW
At ARRAY, we’re not just another software services company—we’re a team of dreamers, innovators, and trailblazers! From startup grit to big-tech aspirations, we’re on a mission to redefine technology, put Bahrain on the global tech map, and grow into a powerhouse that inspires.
Our Goa, India office is a subsidiary branch of Array Innovation, extending this mission by building a strong engineering team in India.
If you’re ready to be part of an exciting journey, we want you on our team!
KEY RESPONSIBILITIES
• Software Development: Design, develop, and implement software solutions using Python.
• Product Engineering: Design, build, deploy and operate production-grade software at enterprise scale, owning features end to end.
• Applied AI/ML: Own the full machine learning life cycle – data exploration and preprocessing, model selection and training, evaluation, deployment, monitoring and optimisation – inside deployed products, not research notebooks.
• Code Quality & Review: Maintain high coding standards, perform code reviews, and mentor junior engineers.
• Technical Leadership: Contribute to the technical direction and success of projects, guiding and mentoring the team.
• Documentation: Create and maintain clear and concise documentation for code, design, and implementation.
• Problem Solving: Troubleshoot and resolve complex technical issues, working collaboratively with stakeholders.
• Cloud Integration: Architect scalable and resilient solutions utilizing AWS, Azure, or GCP.
• CI/CD Implementation: Develop and manage CI/CD pipelines to streamline development and deployment processes.
• MLOps & Reliability: Establish monitoring, alerting, and automated retraining/rollback pipelines for production ML models.
MUST-HAVE SKILLS
• Bachelor’s/master’s degree in computer science, Software Engineering, or related field.
• 5-8 years of hands-on experience in Python.
• Hands-on experience building and deploying software products, with substantial experience developing and deploying AI/ML models in production.
• Proficient in AI and machine learning libraries and frameworks (e.g., PyTorch, scikit-learn) and modern AI tooling.
• Strong knowledge of software architecture, design patterns, and best practices.
• Proficiency with CI/CD tools for efficient software delivery.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong communication and collaboration abilities, able to work effectively with teams and stakeholders.
• Ability to thrive in an Agile development environment.
• Experience mentoring engineers and setting technical direction across a small team or pod.
NICE-TO-HAVE SKILLS
• Cloud certifications (AWS, GCP, or Azure).
• Experience in startup environments, adapting quickly to fast-paced changes.
• Client-facing experience, understanding client needs and implementing solutions.
• Expertise in low latency or ultra-low latency coding practices.
• Background in financial services – banks, asset managers, or fintech.
• Applied generative AI experience: LLM-powered features, retrieval, agents or fine-tuning in production.
• Prior experience presenting AI/ML architecture decisions to non-technical stakeholders or leadership.
