Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is a cloud platform and professional services organization helping customers achieve business outcomes through AWS Cloud adoption. The Delivery Consultant will design, implement, and scale secure AI/ML and generative AI solutions, while advising customers, developing machine learning models, and supporting their AI transformation journeys.
Responsibilities
- Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
- Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
- Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
- Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
- Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
- Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility
Skills
- This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance
- • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- • Experience in defining and creating benchmarks for assessing GenAI model performance
- • Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects
- • 2+ years of computer vision experience
- • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- • Experience in performance optimization and cost management for cloud environments
- • Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- • Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders
- • 2+ years of cloud architecture and solution implementation experience
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance including medical, dental, vision, prescription, Basic Life & AD&D insurance, and an option for Supplemental life plans
- Employee Assistance Program (EAP)
- Mental Health Support
- Medical Advice Line
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- 401(k) matching
- Paid time off
- Parental leave
- Flexibility as part of the working culture
- Employee-led affinity groups
- Mentorship and other career-advancing resources
Company Overview