About the Role

The Delivery Consultant - AI/ML works with customers to design, implement, and manage AWS AI/ML solutions, ensuring technical requirements and business objectives are met. They provide expertise in architecting scalable, secure solutions and lead implementation with best practices.

Key Responsibilities

• Design and develop robust and scalable AI/ML solutions for business problems
• Interact with customers to understand business problems and aid in ML ecosystem implementation
• Use Foundation Models on Amazon Bedrock and Amazon SageMaker to meet customer performance needs
• Analyze and extract relevant information from large historical datasets to automate and optimize processes
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts

Required Skills & Qualifications

Must Have:

• 3+ years experience in cloud architecture and hands-on implementation of ML systems, including building, validating, and deploying GenAI models
• 5+ years of professional experience in a business environment with IT platform implementation in a highly technical or analytical role
• 3+ years experience handling large datasets and strong software development skills in 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 communication skills in English and ability to lead effectively across organizations

Nice to Have:

• 3+ years technical experience with knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns
• 3+ years application development experience with serverless technologies and training distributed ML models on CPU and GPU hardware
• Experience serving ML models through realtime APIs and deploying production-grade machine learning solutions on public cloud platforms
• AWS experience with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) and AWS Professional or Specialty level certifications

Benefits & Perks

• Inclusive team culture with employee-led affinity groups
• Mentorship and career growth opportunities with knowledge-sharing resources
• Work/life balance with flexibility as part of the working culture