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About the role
Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries at Amazon Web Services, Inc.
Required Skills
pythonsqlawsgenai/mldeep learningdata scienceterraformsagemakerbedrock
About the Role
The Delivery Consultant role at AWS Professional Services involves designing, implementing, and managing GenAI/ML and data science solutions on AWS for customers. You will provide technical guidance, collaborate with stakeholders, and act as a trusted advisor on cloud adoption and emerging technologies. The position requires deep expertise in AWS services and AI/ML applications to drive customer success.Key Responsibilities
- Design, implement, and build complex, scalable, and secure GenAI and ML applications and models on AWS
- Provide technical guidance and implementation support throughout project delivery using AWS AI/ML services
- Collaborate with customer stakeholders to gather requirements and propose effective model training and deployment strategies
- Act as a trusted advisor to customers on industry trends and emerging technologies
- Share knowledge within the organization through mentoring, training, and creating reusable artifacts
Required Skills & Qualifications
Must Have:
- 8+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g., SQL), scripting languages (e.g., Python)
Nice to Have:
- PhD or Masters of Science degree in Computer Science or related technical, math, or scientific field (or equivalent experience)
- Knowledge of AWS platform and tools with proficiency in services like SageMaker, Bedrock, EMR, S3, etc.
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty)
Benefits & Perks
- Inclusive team culture with employee-led affinity groups and diversity conferences
- Mentorship and career growth opportunities with knowledge-sharing resources
- Work/life balance with flexibility as part of the working culture
- Total compensation package including equity, sign-on payments, and full range of medical, financial benefits