Key Responsibilities
- Design and implement scalable, secure AI/ML solutions on AWS tailored to customer needs, including model selection and fine-tuning for specific use cases
- Develop and deploy machine learning models and generative AI applications to solve real-world business problems, optimizing performance at scale
- Collaborate with stakeholders to identify high-value AI/ML use cases, gather requirements, and propose strategies for implementation
- Provide technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently
- Act as a trusted advisor on AI/ML advancements, emerging technologies, and innovative approaches to leverage data sources for business impact
- Share knowledge through mentoring, training, and creating reusable AI/ML artifacts
Requirements
- Proficiency in architecting complex, scalable, and secure machine learning solutions
- Experience with generative AI algorithms and their application to real-world problems
- Strong collaboration skills to work with customer stakeholders and drive AI transformation
- Ability to assess data infrastructure and develop proof-of-concepts for AI solutions
- Active TS/SCI security clearance required