Python Developer

Job Specification:

We are looking for an experienced backend Software Engineer with a strong background in data science projects and backend development, particularly in Python and related technologies. The ideal candidate will drive the development of innovative applications to support digital marketing initiatives, leveraging data from various media platforms. In this role, you will build, clean, and label data pipelines and use the processed data to enable performance reporting, predictive modeling, and advanced AI use cases. You will also lead development efforts in various exciting AI-powered applications which are in our roadmap for 2025.

Key Responsibilities:

 Architect and implement scalable applications that ingest and clean data from APIs of digital

marketing platforms.

 Design and build systems for labeling, categorizing, and cleaning data, enabling it to power

performance dashboards and AI models.

 Lead the development of predictive models for media spend forecasting as part of an MVP, with

plans to expand into other AI-based modules.

 Collaborate with data science teams to develop GPT-powered models for digital marketing

performance enhancement.

 Develop AI-driven tools that are aimed to drive efficiency or performance

 Create powerful pipelines to help create dashboards to present key insights from processed data.

 Own the end-to-end solution design, ensuring robustness, scalability, and alignment with business

goals.

Qualifications:

 Proven experience as a backend developer with a focus on data science, AI projects, and backend

systems development.

 Strong programming expertise in Python and familiarity with related languages such as Java or

Scala.

 Hands-on experience working with APIs, data pipelines, and cloud-based infrastructure (AWS,

Azure, or Google Cloud).

 Solid understanding of machine learning, predictive modeling, and AI technologies.

 Experience building and deploying models for forecasting, performance reporting, and AI-driven

applications.

 Familiarity with computer vision techniques and OCR for transforming image-based data into

structured formats.

 Strong problem-solving skills and the ability to design scalable, reliable, and efficient solutions.

 Excellent communication and collaboration skills to work cross-functionally with data scientists,

engineers, and business stakeholders.

Nice-to-Have:

 Experience working in the digital marketing domain.

 Familiarity with GPT-based models and natural language processing (NLP) applications.