About the Role

This role is a GenAI Application Development Delivery Consultant at AWS Professional Services, focusing on helping global enterprise customers design and implement cloud-based solutions using generative AI and machine learning technologies. The consultant will lead complex projects, architect scalable solutions, and work hands-on with customers to solve business problems through cloud innovation.

Key Responsibilities

• Leading complex projects with autonomy involving multiple Amazon, customer and partner teams
• Working with customers through planning, prioritization and delivery of complex transformation and migration initiatives
• Designing and delivering solutions that solve for new levels of complexity, scale and performance
• Creating and applying frameworks, methods, best practices and artifacts that deliver prescriptive guidance to customers
• Guiding customers' technical architecture and investments to maximize alignment with AWS platform

Required Skills & Qualifications

Must Have:

• Experience coding in Python, R, Matlab, Java or other modern programming language
• Experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inferences)
• Basic understanding of deep learning (e.g., CNN, RNN, LSTM, Transformer)
• Basic understanding of Large Language Models, Large Multimodal Models and other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies

Nice to Have:

• Strong working knowledge of deep learning, machine learning and statistics
• Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 or other large scale cloud providers' services
• Experiences related to Large Language Models, Large Multimodal Models or other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies
• Strong communication skills with attention to detail and ability to convey rigorous mathematical concepts to non-experts

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