AIML Engineer Python

Key Responsibilities

• Design, develop, test, and maintain Python applications and backed services.
• Develop and integrate AI/ML features into business applications and workflows.
• Build, evaluate, deploy, and monitor machine learning models.
• Prepare, clean, transform, and analyses structured and unstructured data.
• Integrate generative AI, large language models, and third-party AI services where appropriate.
• Build and integrate RESTful APIs and external services.
• Connect modern applications and AI solutions with legacy and ERP systems.
• Analyse existing systems, business processes, and data flows.
• Support the modernization and migration of legacy applications.
• Develop and maintain applications and services hosted on Microsoft Azure.
• Write clean, efficient, reusable, tested, and well-documented code.
• Investigate technical issues and implement reliable, long-term solutions.
• Participate in code reviews and contribute to engineering standards.
• Collaborate with developers, product managers, business users, and other stakeholders.
• Support application deployment, monitoring, security, and performance improvement.

Essential Skills and Experience

• 3-5 years of professional software development experience using Python.
• Strong knowledge of Python fundamentals, data structures, and object-oriented programming.
• Practical experience with AI or machine learning projects.
• Experience using common data and ML libraries such as Pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Understanding of the ML lifecycle, including data preparation, training, evaluation, deployment, and monitoring.
• Ability to select suitable models and evaluate them using appropriate performance metrics.
• Experience with at least one Python web framework, such as FastAPI, Django, or Flask.
• Practical experience designing, building, and consuming REST APIs.
• Hands-on experience with Microsoft Azure services and cloud-based deployments.
• Knowledge of legacy applications, ERP systems, and system integration.
• Good knowledge of SQL and relational databases such as Microsoft SQL Server, PostgreSQL, or MySQL.
• Experience using Git, automated testing, and collaborative development workflows.
• Strong troubleshooting, analytical, and communication skills.

Desirable Skills

• Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI Service, or related Azure technologies.
• Experience building generative AI applications using large language models.
• Familiarity with prompt engineering, embedding, vector databases, and retrieval-augmented generation.
• Understanding of responsible AI, data privacy, model security, and output evaluation.
• Experience deploying and monitoring models in production environments.
• Familiarity with MLOps practices, model versioning, and automated ML pipelines.
• Experience with Azure App Service, Azure Functions, Azure DevOps, or Azure SQL.
• Familiarity with Docker, containerized applications, and CI/CD pipelines.
• Experience integrating enterprise or ERP platforms through APIs, databases, files, or messaging systems.
• Understanding of legacy-system modernisation and data-migration practices.
• Experience with background jobs, message queues, microservices, or event-driven architectures.
• Understanding of application logging, monitoring, and observability.

What We Are Looking For

• A practical developer who can turn business requirements into reliable software and AI-assisted solutions.
• Someone who understands where AI adds genuine value and where conventional software is more appropriate.
• A thoughtful problem-solver who can work with imperfect data and established systems.
• A collaborative team member who communicates clearly with technical and non-technical stakeholders.
• Someone who takes ownership of their work from design through deployment and support.
• A developer who values simplicity, reliability, security, responsible AI, and continuous learning.
• The ability to balance delivery speed with long-term software quality.