TL;DR

Delivery Consultant (AI/ML): Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring with an accent on high-performance, reliable, scalable, and secure ML workloads. Focus on designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions.

Location: Must be based in the US

Salary: $118,200 - $204,300/year

Company

%hirify_global% Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures.
Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.

Requirements

3+ years of cloud architecture and solution implementation experience.
Knowledge of the primary aws services (ec2, elb, rds, route53 & s3).
Experience implementing AWS services in a variety of distributed computing environments.

Nice to have

5+ years of IT implementation experience.
Degree in advanced technology, or AWS Professional level certification.
Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
Knowledge of security and compliance standards including HIPAA and GDPR.
Experience and technical expertise (design and implementation) in cloud computing technologies.

Culture & Benefits

AWS values diverse experiences.
Inclusive team culture that empower us to be proud of our differences.
Endless knowledge-sharing, mentorship and other career-advancing resources.
We value work-life harmony and strive for flexibility as part of our working culture.