Creator.Group.Jobs: ML Engineer (LLM/NLP/Fine-Tuning) at Marketing

Department: Marketing Technology / AI & Data

Job Type: Full-Time

Location: [Remote / Hybrid / On-site] Position Overview:

We are seeking a skilled Machine Learning Engineer with a focus on Large Language Models (LLMs), Natural Language Processing (NLP), and model fine-tuning to support the development of AI-driven marketing products and infrastructure. You will play a critical role in building intelligent systems that power personalized content generation, customer interaction, and insights automation. Key Responsibilities:

• Design, implement, and fine-tune LLMs and transformer-based NLP models
• Build scalable ML pipelines to support marketing data use cases
• Collaborate with cross-functional teams (engineering, data science, marketing) to define and deliver AI-powered product features
• Conduct experiments, benchmarking, and model evaluations on tasks such as text classification, generation, summarization, and Q&A
• Optimize inference performance, latency, and scalability for deployment environments
• Contribute to data preprocessing, augmentation, and annotation workflows
• Stay up to date with recent advances in generative AI, prompt engineering, and responsible AI practices Qualifications:
• Degree in Computer Science, Machine Learning, Applied Mathematics, or related field
• Strong experience with Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers)
• Hands-on experience training or fine-tuning LLMs (e.g., GPT, BERT, LLaMA, T5)
• Solid understanding of NLP techniques and model evaluation metrics
• Familiarity with distributed computing, cloud platforms (e.g., AWS, GCP, Azure), and MLOps tools
• Ability to write clean, efficient, and reproducible code in collaborative environments Preferred (Not Required):
• Experience working with marketing-related datasets (e.g., campaign data, CRM, social content)
• Knowledge of prompt engineering or instruction tuning
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines
• Background in personalization, recommendation, or A/B testing frameworks What You’ll Gain:
• The opportunity to shape AI applications within a fast-evolving marketing tech stack
• Work with a multidisciplinary team on real-world NLP problems
• Exposure to the latest LLM fine-tuning strategies and deployment techniques
• A culture of innovation, experimentation, and continuous learning Diversity & Inclusion:
• We welcome applicants from all backgrounds and experiences. Our team values diversity, open collaboration, and inclusive innovation.