Delivery Consultant - Data Scientist Professional Services Delivery

Amazon Web Services (AWS)

As an experienced technology professional, you will be responsible for:

• Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
• Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
• Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Basic Qualifications

• Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
• Experience implementing AWS services in a variety of distributed computing environments
• Experience developing software code in one or more programming languages (java, python, etc.)
• Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
• 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience, as well as hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)br>

Preferred Qualifications

• Experience and technical expertise (design and implementation) in cloud computing technologies
• Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
• AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
• Experience with automation and scripting (e.g., Terraform, Python), and knowledge of security and compliance standards (e.g., HIPAA, GDPR)
• Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed trainingbr>