Data Engineer

Paradise Media is an affiliate marketing company at the forefront of digital marketing, dedicated to empowering consumers to make informed choices when it comes to products and services using strategic and innovative digital marketing campaigns. With a strong commitment to transparency, consumer empowerment, and performance-driven marketing, Paradise Media aligns advertisers and affiliates to provide consumers with information to make the best choices for their needs.

About the role

As part of the Data and BI Team and reporting to the Lead Data Engineer, the chosen candidate will lead initiatives that combine robust data engineering with cutting-edge developments in artificial intelligence. This role is ideal for an engineer who thrives at the intersection of data infrastructure, machine learning, and large language model (LLM) deployment. 

The ideal candidate brings experience (and passion) in building scalable data solutions, while also being comfortable collaborating with data scientists, developing AI pipelines, and deploying models (including LLMs) into production environments. 

Roles & Responsibilities: 

• Design, build, maintain and optimize modern data architectures that support machine learning, LLMs, and advanced analytics use cases
• Lead efforts in LLM integration and deployment, including prompt engineering, embedding generation, vector database setup, and inference infrastructure
• Work closely with Data & Business Analysts, Data Scientists and ML Engineers to develop and deploy end-to-end AI/ML pipelines (training, tuning, monitoring, serving)
• Perform statistical analysis, data mining, and feature engineering to enable AI model development
• Participate in R&D of AI technologies, tools, and frameworks, with a focus on LLMs, generative AI, and retrieval-augmented generation (RAG)
• Support operational monitoring and maintenance of deployed models and data workflows 

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, Artificial Intelligence/Machine Learning, or a related technical discipline
• Professional experience as a Data Engineer or in a similar role involving both data engineering and ML/AI projects
• Strong programming skills in Python (required); familiarity with libraries such as Pandas, NumPy, scikit-learn, or Transformers
• Solid experience with SQL and relational databases, including data modeling and performance optimization
• Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant) and embedding-based retrieval
• Experience working with cloud platforms (AWS, GCP, or Azure) for data infrastructure and ML/AI services
• Experience deploying and managing Large Language Models (LLMs), such as OpenAI, Hugging Face, LLaMA, or Mistral
• Exposure to building or contributing to retrieval-augmented generation (RAG) systems
• Understanding of data science workflows and the ability to support model experimentation, training, and deployment
• Familiarity with key NLP concepts such as tokenization, vectorization, and large-scale model inference
• Knowledge of orchestration frameworks for LLMs such as LangChain or LlamaIndex
• Strong analytical and problem-solving skills, with the ability to work effectively in cross-functional teams
• Comfortable working in a fast-paced, agile development environment
• Highly motivated, collaborative, and detail-oriented
• Excellent verbal and written communication skills in English

Our Benefits:

We offer a competitive salary, and the opportunity to work with a talented and passionate team in a fast-paced, dynamic environment.