Senior AI Engineer

8+ years of experience in software engineering, with a strong emphasis on AI/ML.
4+ years of hands-on experience working with transformer models or NLP.
Experience with one or more of the following AI/ML frameworks and libraries is desired: TensorFlow, PyTorch, and Hugging Face Transformers.
Expertise in selecting and applying transformer models for text classification problems.
Experience with prompt engineering, vector-based retrieval, and embedding models.
Strong understanding of AI cost structures, including model inference costs and optimization strategies.
Previous experience designing and implementing experiments to measure model efficacy.
Strong background in Cloud, Containers, Java and Linux-based architectures.
Well-versed in Agile/Scrum development processes.
Excellent communication and problem-solving skills.
Degree in Computer Science, AI/ML, or a related field.

Establish a clear AI/ML vision, build support across cross-functional teams, and drive high-impact AI initiatives to completion.
Develop and deploy transformer-based models for classification tasks, leveraging pre-trained models, fine-tuning techniques, and embedding-based retrieval.
Evaluate generalized/base models for low true-positive classification problems and design methods to improve performance.
Implement prompt-based classification techniques and vector-based retrieval to improve accuracy and efficiency.
Design and conduct experiments to measure model efficacy, balancing performance with computational costs.
Research available AI/ML technologies and help make informed build vs. buy decisions.
Ensure AI solutions are scalable, secure, and aligned with enterprise best practices.
Stay current with the latest advancements in transformers, LLMs, and AI-driven text classification.