• Architect and implement systems that collect, store, and surface insights from large-scale creative and performance datasets. • Build robust APIs empowering clients, dashboards, and data consumers across the company. • Improve how marketers visualize and act on creative data through unified, reliable backend systems. • Diagnose and solve performance bottlenecks, infrastructure challenges, and integration issues. • Collaborate with a talented team to evolve architecture, tooling, and development processes as we grow.

• Develop, train, fine-tune, and deploy machine learning models using TensorFlow, PyTorch, scikit-learn, and NumPy. • Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision. • Integrate and utilize pre-trained AI models, including those in AWS Bedrock. • Optimize AI model performance, scalability, and efficiency. • Design and develop RESTful APIs using Flask or FastAPI for AI model deployment. • Implement robust microservices architecture for AI-based applications. • Ensure secure, efficient, and scalable backend AI solutions. • Deploy AI solutions using AWS Bedrock and integrate with services like S3, Lambda, SageMaker, ECS/EKS, and IAM. • Manage cloud infrastructure provisioning, cost optimization, and security policies. • Work with CI/CD pipelines for seamless AI model deployment. • Utilize Docker and Kubernetes for containerized deployments. • Design, query, and optimize relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) databases. • Develop and automate data pipelines using Apache Airflow, AWS Glue, or Spark. • Implement ETL processes for AI data handling. • Collaborate with data scientists, engineers, and product managers to integrate AI into applications. • Write clear documentation for AI models, workflows, and deployment processes. • Explain AI concepts to non-technical stakeholders when required.

• Design, develop, and maintain fullstack applications using Java and Angular • Build secure, high-performance backend services and REST APIs • Develop modern, responsive frontend applications in Angular • Collaborate with analysts, architects, and testers to deliver robust solutions • Implement new features and optimise existing modules • Participate in architectural discussions and technical decision-making • Ensure compliance with security and code quality standards • Contribute to CI/CD pipelines and automated testing processes

• Technical implementation of software solutions with a strong focus on artificial intelligence. • Object-oriented software development primarily in the Java ecosystem, supplemented by Python for implementing AI use cases. • Conception and implementation of solutions in the area of LLMs and Generative AI. • Integration of frameworks such as LangChain to optimize processes. • Processing and structuring of unstructured data sets. • Design and integration of interfaces (REST, OpenAPI). • Ensuring the quality, traceability and performance of AI results.