AI/ML Engineer — Azure Cloud, DevOps & Scale

Siri InfoSolutions Inc; Marlborough (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

Siri InfoSolutions Inc is seeking an AI/ML Engineer for Marlborough, MA to build secure, high-performing AI systems using Azure technologies. You will collaborate with data scientists, software engineers and domain experts in an Agile DevOps setting to enable AI-driven discovery and data processing.

The role emphasizes backend development, cloud integration, automation, and deployment of production-grade AI applications, with a focus on observability and reliability.

Qualifications

• Foundational enablement activities supporting the marketing organization.
• Enable AI-led discovery using existing AI tools for data ingestion, application and load processing.

Responsibilities

• As a AI ML Engineer, you will work closely with data scientists, software engineers, and domain experts to build secure, reliable, and high-performing AI systems using modern Azure technologies and software engineering best practices.
• AI engineering, backend development, cloud integration with a strong focus on quality code, automation, scalability, and operational excellence
• work in an Agile/Scrum DevOps environment, building automated CI/CD pipelines, deploying and monitoring AI applications, integrating backend services and APIs
• Continuously improving the AI platform ecosystem
• Help optimize observability, testing, reliability, and performance of production-grade AI systems

Skills

AI/ML enablement

Azure AI stack

Education

Bachelor's degree

Tools

Azure

Job description

Siri InfoSolutions Inc is seeking an AI/ML Engineer for Marlborough, MA to build secure, high-performing AI systems using Azure technologies. You will collaborate with data scientists, software engineers and domain experts in an Agile DevOps setting to enable AI-driven discovery and data processing.

The role emphasizes backend development, cloud integration, automation, and deployment of production-grade AI applications, with a focus on observability and reliability.