AI Engineer

Required Skill and Experience:

Experience in developing and applying generative AI models.

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP)

Proficiency in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.

Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company).

Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.

Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment.

Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.

Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.

Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.