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About the role
Delivery Consultant- GenAI/ML & Data Science, AWS Industries at Amazon Web Services, Inc.
Required Skills
pythonawsgenaimachine learningdeep learningterraformsqldata science
About the Role
The Delivery Consultant role at AWS Professional Services involves designing, implementing, and managing GenAI/ML solutions on AWS for customers. You'll provide technical guidance, collaborate with stakeholders, and act as a trusted advisor on emerging technologies. The position requires deep AWS expertise and experience in cloud-based AI/ML solution delivery.Key Responsibilities
- Design, implement, and build complex, scalable, and secure GenAI and ML applications 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:
- Experience developing software code in one or more programming languages (Java, Python, etc.)
- PhD or Masters of Science degree in Computer Science or related technical field (or equivalent experience)
- 5+ 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 Data Science experience
Nice to Have:
- Knowledge of AWS platform and tools with proficiency in AWS services (SageMaker, Bedrock, EMR, etc.)
- AWS Professional level certifications (Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty)
- Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
Benefits & Perks
- Inclusive team culture with employee-led affinity groups
- Mentorship and career growth opportunities with knowledge-sharing resources
- Work-life balance with flexible working culture