AI/ML Engineer

enableIT; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Health savings account

Vision insurance

Flexible spending accounts

Life insurance

Job summary

enableIT is seeking engineers to design, build, and deploy ML and Generative AI pipelines from development through production. Join a team driving the productionization of AI/ML models, focusing on reliability, scalability, and performance in cloud-native environments.

You will collaborate with engineering, data, and product teams to operationalize AI use cases, implement RAG solutions, and optimize model monitoring and lifecycle management across scalable systems.

Qualifications

• Design, build, and deploy ML and Generative AI pipelines from development through production.
• Implement Retrieval-Augmented Generation (RAG) solutions to enhance AI-driven applications with contextual data.
• Develop and integrate APIs and orchestration workflows to support scalable AI systems.

Responsibilities

• Drive end-to-end productionization of AI/ML models, ensuring reliability, scalability, and performance.
• Partner with engineering, data, and product teams to operationalize AI use cases in production environments.
• Optimize model performance, monitoring, and lifecycle management within cloud-native environments.

Skills

AWS

Job description

Design, build, and deploy ML and Generative AI solutions from development through production.

Drive the productionization of AI/ML models by building scalable pipelines, RAG solutions, and cloud-native AI applications.

• Design, build, and deploy ML and Generative AI pipelines from development through production.


• Implement Retrieval-Augmented Generation (RAG) solutions to enhance AI-driven applications with contextual data.


• Develop and integrate APIs and orchestration workflows to support scalable AI systems.


• Drive end-to-end productionization of AI/ML models, ensuring reliability, scalability, and performance.


• Partner with engineering, data, and product teams to operationalize AI use cases in production environments.


• Optimize model performance, monitoring, and lifecycle management within cloud-native environments.

Key Skills

• AWS (SageMaker, Lambda, S3, ECS/EKS)

Benefits (W2)

• Health insurance


• Health savings account


• Vision insurance


• Flexible spending accounts


• Life insurance

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.