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Delivery Consultant – Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
Vancouver, BC, CanadaMontreal, QC, CanadaCalgary, AB, Canada
$99,900 - $166,900
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Delivery Consultant – Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI

Amazon Web Services (AWS) Professional Services team is seeking a skilled ML Engineer to join as a Delivery Consultant. In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives.

As a Delivery Consultant, you'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You'll possess a deep understanding of AWS products and services, being proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet specific customer needs.

Your responsibilities will include working closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As a trusted advisor to customers, you'll provide guidance on industry trends, emerging technologies, and innovative solutions, while being responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The role involves implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring. You'll design and implement machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads, while collaborating with cross-functional teams including Applied Science, DevOps, Data Engineering, Cloud Infrastructure, and Applications teams.

AWS Professional Services is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work with cutting-edge technologies in a dynamic, innovative environment. AWS values diverse experiences and maintains an inclusive team culture, offering various employee-led affinity groups and ongoing learning experiences. We emphasize work-life harmony and provide extensive resources for knowledge-sharing, mentorship, and career advancement.

Last updated a day ago

Responsibilities For Delivery Consultant – Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI

  • Implementing end-to-end AI/ML and GenAI projects
  • Designing and implementing machine learning pipelines
  • Designing scalable ML solutions and operations (MLOps)
  • Collaborating with cross-functional teams
  • Serving as a trusted advisor to customers on AI/ML and GenAI solutions
  • Sharing knowledge and best practices within the organization
  • Ensuring solutions meet industry standards

Requirements For Delivery Consultant – Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI

Python
Java
JavaScript
TypeScript
  • 5+ years of experience in cloud architecture and implementation
  • 5+ years of experience in data or software or machine learning engineering
  • 3+ years developing platforms for predictive modeling, NLP, and deep learning
  • 3+ years in developing with SQL, Python, and at least one additional programming language
  • Proficiency with ML libraries and frameworks such as TensorFlow, PyTorch
  • Bilingual in French and English if located in Quebec

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