The Python Developer / AI & Analytics Engineer will design, develop, and maintain Python applications that support AI agent workflows, data processing, and analytics reporting. This role partners closely with engineering, analytics, and business stakeholders to translate requirements into scalable technical solutions.
What you will do

• Design, develop, and maintain Python applications for automation, analytics, and system integration
• Build and deploy AI agents to support task automation and decision support
• Integrate AI solutions with internal tools, APIs, and data sources
• Develop and maintain Power BI dashboards and reports
• Prepare, transform, and model data for analytics and reporting
• Collaborate with cross-functional teams to gather requirements and deliver solutions
• Document code, data models, and system designs
• Troubleshoot, test, and improve existing systems

Degree Requirement

• Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field, or equivalent experience required.

What you must have

• Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
• Teamwork: Knowledge of the necessity and value of teamwork; experience with; ability to work cooperatively towards shared goals and being supportive of others at all levels.
• Technical Excellence: Knowledge of a given technology and various application methods; ability to develop and provide solutions to significant technical challenges.
• Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
• Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
• System Testing: Knowledge of system and software testing; ability to design, plan and execute system testing strategies and tactics to ensure the quality of software at all stages of the system life cycle.
• Technical Troubleshooting: Knowledge of technical troubleshooting approaches, tools and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application or operation.

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