Description

You will design, develop, and deploy generative AI models, including fine-tuning pre-trained LLMs for specific tasks. You own the full AI development lifecycle, from data pre-processing to evaluation, optimization, and deployment.

This role is on-site.

Responsibilities

• Design and implement architecture patterns for generative AI applications like text generation and code synthesis.
• Fine-tune open-source and pre-trained models, ensuring performance and alignment with business goals.
• Manage the end-to-end AI lifecycle, including data preparation, training, and production deployment.
• Collaborate with data scientists and engineers to define requirements and integrate AI solutions seamlessly.
• Conduct code reviews and POCs to maintain high-quality, performant code and evaluate new technologies.

Required Skills

• 5+ years of core development and architecture experience.
• Strong proficiency in Python and deep learning frameworks (TensorFlow or PyTorch).
• Deep understanding of machine learning fundamentals, deep learning architectures, and NLP.
• Experience implementing design patterns and developing generative AI models.
• Ability to write high-quality, performant code and conduct rigorous code reviews.
• Experience with cloud platforms (AWS, GCP, Azure) and OpenShift.
• Champion responsible AI practices, focusing on bias mitigation and explainability.

Preferred Skills

• Master’s degree in Computer Science, AI, or a related field.
• Experience fine-tuning open-source AI models and domain-specific industry standards.
• Active participation in technology forums or open-source communities.

Key Skills

Education

Bachelor's or Master's degrees