Job description
This role is responsible for designing, developing, and supporting enterprise web applications and AI-enabled solutions using Python, Microsoft Azure, machine learning, and data analytics.
The position supports Anglo-Eastern’s digital transformation by delivering secure, scalable, and business-focused solutions that improve efficiency, decision-making, and operational performance Roles Accountabilities: Design, build, and maintain secure enterprise applications, backend services, REST APIs, integrations, SQL databases, and data models.
Develop and deploy AI and machine learning solutions, including predictive analytics, forecasting, classification, anomaly detection, recommendations, and computer vision use cases.
Develop and support Azure-based solutions using Azure Functions, App Service, Storage, Azure SQL, Azure Machine Learning, monitoring, and secure cloud services.
Own end-to-end solution delivery, from requirement analysis and design to development, deployment, support, documentation, and continuous improvement.
Work with business stakeholders to understand needs, recommend practical technology solutions, and ensure alignment with enterprise standards, security, and business value.
Manage code, CI/CD pipelines, deployments, monitoring, troubleshooting, and production support across Development, UAT, and Production environments.
About Anglo-Eastern Anglo-Eastern is a global leader in independent ship management services.
The Group manages over 700 vessels under full technical management, supports around 500 additional ships under crew management, and has overseen more than 1,000 newbuildings and conversions through its newbuilding supervision and project management divisions.
Headquartered in Hong Kong, Anglo-Eastern operates through a network of 30 offices across Asia, Europe, and the Americas, including wholly owned maritime training facilities.
Our strength lies in our people: over 39,000 seafarers and 2,350 shore-based employees who work together to support clients across ship types while building trust, driving performance, and shaping a better maritime future.
Why join Anglo-Eastern?
Join a globally respected company with a strong maritime heritage of over 50 years Work in an environment anchored in integrity, trust, and long-term relationships Access continuous learning and structured career development across a truly global network Be part of a team committed to delivering excellence and shaping a better maritime future Join us today!
Key Skills and Capabilities: Certification: Microsoft Azure certification in AI, Data, or Developer technologies – Preferred Azure AI Engineer, Azure Data Scientist, or Azure Developer certification – Good to have Python, Machine Learning, Cloud, or DevOps certification – Good to have Specific Business Knowledge: Strong programming skills in Python, SQL, JavaScript, HTML5, and CSS3.
Experience developing enterprise applications using FastAPI, Flask, or Django, with REST APIs, authentication, authorization, and responsive web design.
Hands-on knowledge of machine learning, predictive analytics, forecasting, feature engineering, model validation, Scikit-learn, Pandas, NumPy, and related ML libraries.
Working knowledge of Microsoft Azure, including Azure Machine Learning, App Service, Functions, Storage, Azure SQL, monitoring, and model deployment.
Strong database skills covering SQL Server or Azure SQL, database design, query optimization, views, stored procedures, and data modelling.
Experience with Git, Azure DevOps, CI/CD pipelines, environment deployments, and production support; Docker preferred.
Good to have: Azure OpenAI, LangChain, Semantic Kernel, Agentic AI, Power Platform, Power BI, OCR, Computer Vision, Microservices, and Kubernetes.
Strong analytical, communication, ownership, stakeholder management, troubleshooting, prioritization, and continuous improvement skills.
Professional Experience And Education: Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related field.
Experience: 5–8 years of experience in Python-based enterprise application development.
Experience in enterprise web applications, backend services, Azure deployments, AI/ML production integration, software engineering best practices, cloud architecture, and enterprise security.
