ShipIn Systems is transforming the maritime industry by providing an AI-powered visual fleet intelligence platform that links onboard video with shore-based teams. This innovative technology turns everyday vessel operations into actionable insights, helping to prevent incidents before they escalate. Working with leading shipowners and operators worldwide, ShipIn enhances visibility, accountability, and learning in daily maritime operations, resulting in safer crews, improved performance, and smarter decision-making across global fleets. If you are passionate about tackling complex, real-world challenges and developing technology that drives behavioral change and safety improvements at scale, this opportunity is for you.
Key Responsibilities
- Design, implement, and optimize data pipelines operating in on-premises, vessel-based environments, focusing on performance, reliability, and real-time throughput.
- Take full ownership of the data pipeline lifecycle, including maintaining and stabilizing existing systems as well as leading architectural redesigns and optimizations.
- Develop high-performance pipelines for processing large-scale video and telemetry data in both streaming and batch modes.
- Integrate on-premises pipeline infrastructure with AWS cloud services, managing deployment workflows and publishing pipeline outputs to the cloud.
- Collaborate closely with machine learning and computer vision engineers to deploy and operationalize models in resource-constrained edge environments in real time.
- Work alongside DevOps, product managers, and algorithm teams to build infrastructure that supports new product features and enhances system performance.
- Write clean, maintainable Python code and actively participate in design and code reviews to uphold high-quality standards.
- Troubleshoot and resolve pipeline issues promptly to minimize downtime on mission-critical systems that operate 24/7 at sea.
- Stay updated with the latest developments in data engineering and proactively apply improvements to existing processes.
Required Qualifications
- Minimum of 5 years’ experience designing and operating production data pipelines.
- Strong proficiency in Python, which will be your primary programming language.
- Hands-on experience with PostgreSQL or equivalent relational databases.
- Solid understanding of integrating machine learning models into large-scale production environments.
- Comfortable working across hybrid architectures that combine on-premises and cloud environments, preferably with AWS.
- Excellent communication and collaboration skills to work effectively within cross-functional teams.
Preferred Qualifications and Benefits
- Familiarity with Rust or C++ programming languages.
- Experience working with image or video processing pipelines.
- Background in edge or embedded computing environments.
- This position is open to candidates currently based in Pakistan.
Join ShipIn to be part of a pioneering team that is redefining maritime safety through cutting-edge technology and innovative data engineering solutions.