Job Description
Are you ready to pioneer the next generation of artificial intelligence? Apex Data Systems is seeking a visionary Senior AI Engineer to lead the development of our proprietary Large Language Model (LLM) suite. In this role, you will define the architecture of our AI core, working on cutting-edge problems in Natural Language Processing (NLP) and generative synthesis.
We are a fast-paced, elite engineering team focused on scalability and ethical AI. You will have the autonomy to experiment with the latest research papers and deploy production-grade solutions that impact millions of users.
Responsibilities
- Architect and implement scalable deep learning models for NLP and generative tasks using PyTorch and TensorFlow.
- Optimize model inference latency and memory usage for high-volume cloud environments.
- Design robust data pipelines for training, validation, and fine-tuning large datasets.
- Collaborate with product leadership to translate complex technical requirements into actionable AI features.
- Conduct rigorous research to stay ahead of industry trends, specifically in multimodal AI and RAG (Retrieval-Augmented Generation).
- Ensure code quality, documentation, and maintainability across the AI engineering department.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 7+ years of professional experience in machine learning engineering or applied research.
- Expert-level proficiency in Python, SQL, and at least one deep learning framework (PyTorch preferred).
- Proven track record of deploying ML models to production environments (AWS, GCP, or Azure).
- Strong understanding of distributed systems, cloud architecture, and MLOps practices.
- Experience with fine-tuning LLMs (e.g., GPT, Llama, BERT) and vector databases.