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.
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: