Lead Engineer-AI / ML

Roles and Responsibilities

• Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation.
• Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.
• Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs.
• Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization.
• Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A / B testing and monitoring of generative models in production.
• Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability.
• Documentandcommunicatetechnicalspecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.

Qualifications Required

Skills and Experience Required

Why you'll love working with us :

Skills Required

Machine Learning, data engineering , MLops, Programming, Python, Sql