Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance:
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• 3+ years experience in the industry as a ML practitioner with hands-on and implementation of ML systems; building, validating and deploying GenAI models
• 7+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role,
• 3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C#
• Strong understanding of DevOps practices with practical hands-on application and strong interest in AI/ML solutions Strong verbal and written communications skills and ability to lead effectively across organizations
• 3+ years technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns
• 3+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware
• Serving ML models through real-time APIs and experience with deploying production-grade machine learning solutions on public cloud platforms
• Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etc
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