🚀 Delivery Consultant - Machine Learning Engineer, AWS Professional Services

Delivery Consultant - Machine Learning Engineer, AWS Professional Services

Join Amazon Web Services (AWS) as a Delivery Consultant - Machine Learning Engineer. We are seeking a skilled ML Engineer to join our team as a Delivery Consultant at AWS.

As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You will be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer.

Key job responsibilities include:

• 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.
• Collaborating with cross-functional teams 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.

Basic Qualifications

• 3+ years cloud architecture and implementation.
• 5+ years data, software, or ML engineering, with strong understanding of distributed computing.
• 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud.
• 3+ years developing with SQL, Python, and at least one additional programming language.

Preferred Qualifications

• AWS experience preferred, with proficiency in a range of AWS services.
• AWS Professional certifications.
• Experience with automation, Infrastructure as Code, and Containers & CI/CD Pipelines.
• Knowledge of common security and compliance standards.
• Strong communication skills with ability to explain complex concepts to technical and non-technical audiences.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.