ML Engineer

BIRDSVUE LLC; Dunstable (MA); On-site; USD 120,000 - 190,000; Full time

Job summary

BIRDSVUE LLC in the United States is seeking an ML Engineer to build and elevate the AI platform. You will design and implement the core REST API that powers the platform and collaborate with security, cloud, and other IT teams to deliver a reliable, secure solution for data teams.

The role requires strong Python and FastAPI skills, Terraform for infra, and deep Azure experience, including IAM, secrets management, and private networking. Experience with Azure ML, Foundry, and MLOps is a plus.

Qualifications

• Proficiency in Python and asynchronous REST API development using FastAPI.
• Strong design of relational databases and data models.
• Extensive infrastructure automation with Terraform and Azure.
• Experience with identity and access management, secrets management, and private networking on Azure.
• Proficient in Git, GitHub Actions, and CI/CD pipelines with automated tests.
• Strong debugging, logging, monitoring, and observability practices.

Responsibilities

• Build and improve the AI platform by designing the core REST API powering the platform.
• Collaborate with security, cloud, and other IT teams to ensure a reliable and secure solution.
• Deliver production backend services, tooling, and maintainable code with clear documentation.

Skills

Python

FastAPI

Relational DB design

Terraform

Azure

IAM

Secrets management

Private networking

Git

GitHub Actions

CI/CD

Automated testing

Logging & observability

Azure ML

MLOps

Foundry

Tools

Terraform

Azure

Git

GitHub Actions

Azure ML

Foundry

Job description

ML Engineer

1. Role description

Build and improve Client's AI Platform. The primary goal is to design and implement the core REST API that powers the platform. Collaborate with other IT teams (e.g., security, cloud etc.) to deliver a reliable, secure and easy-to-use AI platform for teams to use.

2. Skills

Core skills include Python and asynchronous REST API development using FastAPI, relational database design, and infrastructure automation using Terraform. Strong Microsoft Azure experience is required, including identity and access management, secrets management and private networking, alongside Git, GitHub Actions, CI/CD pipelines, and automated testing. Strong troubleshooting, debugging, and error-handling skills, with experience implementing effective logging, monitoring, and observability practices, are also required. Familiarity with Azure Machine Learning, Microsoft Foundry, and MLOps practices is a plus.

3. Desired background

Demonstrated experience delivering production backend services, cloud platforms, or self-service infrastructure tooling, ideally supporting AI and machine learning teams. Strong hands-on experience with Microsoft Azure and Infrastructure as Code using Terraform is required; experience in energy, utilities, or other regulated enterprise environments is a plus. Able to own end-to-end feature delivery across APIs, databases, infrastructure, and deployment pipelines, while maintaining and improving an existing codebase. Experienced in collaborating with security, cloud, and networking teams to meet enterprise requirements. Produces maintainable, well-tested code, clear technical documentation and handovers, and can effectively communicate architecture decisions and technical trade-offs to both technical and non-technical stakeholders.

4. Timeline

• Target start: November 2, 2026, or the earliest practical date after selection, onboarding, and access approval.
• Expected duration: Six months initially; any extension subject to funding and delivery needs.

5. Headcount

One full-time ML Engineer, approximately 40 hours per week, subject to contract.