JD AWS AI Expert
Role Desscription
As the AWS AI Expert, you will drive the design, development, and deployment of advanced AI and machine learning solutions across the enterprise. You'll collaborate with AI Architects, Cloud Engineers, and CRM Development Teams (e.g., Salesforce) to deliver scalable, ethical, and high-impact AI systems. Your expertise will span both Generative AI (GenAI) models-such as Gemini, GPT-4, and similar large language models and traditional NLP/Deep Learning architectures.
This is a hands-on technical leadership role that requires both deep ML expertise and strong system design and mentorship skills. You will shape the AI strategy, ensure technical excellence, and uphold ethical standards in all AI-driven initiatives.
Key Responsibilities
Lead the design, development, and deployment of machine learning and GenAI models in collaboration with AI Architects, Cloud Engineers, and CRM Development Teams.
Evaluate and fine-tune state-of-the-art models and integrate them into enterprise systems such as Salesforce.
-Guide retraining efforts to maintain model performance, fairness, and ethical standards.
Ensure AI governance and ethics by monitoring for bias, ensuring data privacy compliance, and adhering to responsible AI principles.
-Stay ahead of industry trends, tools, and research to continuously innovate and improve AI capabilities within the organization.
-Document architectures, workflows, and model lifecycles for transparency, reproducibility, and audit readiness.
Required Qualifications
-Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related field (advanced degree preferred).
-Proven experience in Machine Learning Engineering or AI Solution Design, with demonstrated leadership or tech lead responsibilities.
-Deep expertise in Generative AI, LLMs and traditional ML/NLP/Deep Learning techniques.
-Proficiency in Python and related ML frameworks
-Strong experience with AWS cloud platforms.
Preferred / Nice to Have
-Professional Machine Learning or AI certifications
-Experience in Healthcare Payer or Healthcare Technology environments.
-Hands-on experience with CRM platforms like Salesforce.
-Understanding of data privacy, security, and ethical AI practices.
-Experience mentoring or training teams in AI/ML concepts and implementation.
-Strong project management or agile delivery experience.