About the role
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.
Source: the employer's own careers page.