Delivery Consultant, AI/ML, AWS Professional Services, Healthcare & Life Sciences

A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Responsibilities include: - Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . - Assist customers by being able to deliver a AI/Ml and GenAI project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. - Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models. - Use SparkML and Amazon Machine Learning (AML) to help BASIC QUALIFICATIONS - 7+ years of IT implementation experience - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - 7+ years of cloud architecture and solution implementation experience - 7+ years of building machine learning models or developing algorithms for business application experience - 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - 1+ years of professional work experience, or experience with AWS services or other cloud offerings - Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines - Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering) - Experien

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