Applied ML Engineer - GenAI - Explainable AI

Overview:

We are seeking an Applied ML Engineer specializing in Generative AI with a focus on Explainable AI. This role is crucial for ensuring that our machine learning models are responsible, fair, and transparent. The ideal candidate will have a solid understanding of guardrails in AI applications, with a keen eye on bias and fairness issues that might arise in AI systems. You will play a pivotal role in fine-tuning models to enhance their performance and safety, contributing to the ethical deployment of AI solutions.

Key Responsibilities:

• Design and develop machine learning models with a focus on explainability and transparency.
• Implement ethical AI practices, including responsible data usage and bias mitigation strategies.
• Establish guardrails to ensure the safety and robustness of AI applications.
• Conduct thorough evaluations of AI models to assess and improve their fairness and performance.
• Collaborate with cross-functional teams to integrate AI solutions into products while adhering to ethical standards.
• Stay abreast of advancements in AI technologies and methodologies related to explainability and responsible AI.
• Provide documentation and training to stakeholders on the importance and methods of explainable AI.

Ideal Candidate Profile:

• 3-5 years of experience in machine learning engineering or related field.
• Strong understanding of explainable AI concepts and methodologies.
• Experience with bias detection and mitigation techniques in machine learning.
• Proficiency in model fine-tuning and optimization for safety and performance.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
• Passion for responsible and ethical AI development.