AI and Analytics Developer
2 weeks ago
Key Responsibilities
- Design, develop, deploy, and operate end-to-end AI and analytics solutions, collaborating with data scientists, engineers, and business stakeholders.
- Build high-quality, maintainable, and well-documented code using best software engineering practices (version control, unit testing, CI/CD).
- Develop and optimize data pipelines, ensuring efficient and secure data integration from diverse sources.
- Developed intelligent solutions using Python, OpenAI and Model Context Protocol delivering scalable, API-driven AI services for dynamic business use cases (FastAPI, FastMCP)
- Leveraged expertise in Pandas and Pydantic to design robust data pipelines, and preferred hands-on experience with AI frameworks such as LangChain and Semantic Kernel for advanced workflow automation.
- Build user interfaces using modern web technologies (e.g., JavaScript/TypeScript, React, , , Flask).
- Implement and maintain machine learning models and analytics solutions in production, with attention to monitoring, data/model drift, and observability.
- Own deployment processes using containerization (Docker, Kubernetes) and workflow orchestration tools.
- Integrate solutions with cloud platforms (preferably Azure) and develop/consume RESTful and GraphQL APIs, focusing on scalability and microservices architecture.
- Ensure compliance with security, privacy, responsible AI, and regulatory standards.
- Stay updated on industry trends, best practices, and cutting-edge technologies in AI, analytics, and software engineering.
Requirements
- Bachelor's or Master's in Computer Science, Engineering, or related field.
- Strong problem-solving skills and ability to explain technical concepts to non-technical stakeholders.
- Solid understanding of software engineering principles (design patterns, data structures).
- Expert programming skills in Python, Java, C#, JavaScript, or TypeScript.
- Experience with AI/ML frameworks and libraries (LangChain, FastMCP)
- Experience in developing and deploying production-ready data pipelines (ETL/ELT), including DataOps practices.
- Familiarity with containerization (Docker, Kubernetes), MLOps/DevOps tools, automated testing, and CI/CD pipelines.
- Experience using modern web development frameworks and building APIs (e.g., FastAPI, , React, ).
- Experience with cloud platforms (preferably Azure).
- Knowledge of regulatory standards for data and AI, with an understanding of security, privacy, and responsible AI (fairness, explainability).
- Experience in financial services or a similar regulated industry.
- Proficiency with data visualization tools (e.g., Power BI), documentation, and collaboration tools.
We are looking forward to receiving your online application.
For any further information please do not hesitate to contact us.
LGT IT Services APAC Pte. Ltd.Human Resources
Lincoln Lee-
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