1099 consultant · ~120–600 hrs per funded award · $45–$105/hr · Remote (U.S.)

MLOps Engineer (Model Deployment & Monitoring)

Put our models into production, keep them versioned and reproducible, and catch drift before users do.

About Precision Federal

Precision Federal is a small business building AI, data and software systems for government agencies. The company’s founder loves God, and the company is built on Christian faith: every number we publish is real, every claim we make is verifiable, and the work is done with excellence as service to God. Faith is welcome here and openly shared.

How this role works

You join the bench. You apply with your weekly hours and start time. We set your hourly rate from your résumé, and we may name you on proposals that match this role. If we don't win, you owe nothing.
A contract is awarded. The award funds the team named in the proposal. Your engagement begins at the hourly rate we agreed on.
You work remote, paid from the contract. ~120–600 hrs per funded award — and if no award ever funds, you owe nothing and lose nothing.

What you'll do

Build the training, packaging and deployment pipelines for models and LLM applications
Version data, features, code and model weights so every result can be reproduced
Monitor models in production for drift, latency, cost and failure, with alerting
Harden model serving to the customer's security and accreditation baseline

Required qualifications

Direct experience deploying and operating machine-learning models in production
Working knowledge of MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML or comparable tooling, and containers
U.S. citizen or lawful permanent resident (U.S. person)
Willing to be named on a federal proposal with a one-page resume, and to sign a short letter of commitment

Preferred qualifications

Kubernetes and infrastructure as code
GPU inference serving and LLM operations
Federal cloud environments at FedRAMP Moderate, IL4 or IL5

Compensation & structure

1099 consulting engagement. $45–$105 per hour; we set your rate from your résumé and experience. Hours are funded by federal contract awards — this seat is scoped at roughly 120–600 hours per funded award, fully remote. Work and pay begin only if the contract is awarded — no award, no hours, no obligation.

Join the bench — MLOps Engineer (Model Deployment & Monitoring)

Every application is read. It takes about 5 minutes.

This is a bench, not a job offer. Work starts when we win a contract that needs you.
We may name you on proposals. If that contract is awarded, you do the role at the rate and hours we agree on.
Paid hourly as a 1099 contractor; full-time roles may be W-2. If your background fits, we will email you.

First name *

Last name *

Email *

Phone *

Work authorization *

LinkedIn or portfolio link

What state do you live in? *

Resume (PDF or Word) *

Questions

Answer from your own experience. A few sentences each is plenty; be specific and tell us what you did yourself.

Precision Federal was founded on Christian values. Our faith in God shapes how we work: many of us openly share our personal faith, share our lives together, and pray for one another. We’re building a close-knit community where we truly care about each other. Taking part is always voluntary, and people of every faith and background are welcome. As we get to know you, you’re always welcome to share your own faith with us.

1. Cover letter. In your own words, tell us about yourself: what guides you (for many of us here, that’s our faith in God), your background, and why this role interests you. *

2. Describe the production machine-learning or LLM system you deployed and operated that is most like this role: the pipeline, how you versioned data and models, the drift, latency and cost monitoring you built, your role, and the result. *

Availability

Pay for this role: $45–$105 an hour, set by your experience.

Hours per week you could give on an awarded contract (all part-time, up to 30) *

If you are named and we win, will you be able to start within a few weeks? *

May we name you on proposals for this role, and if we win, will you do the work at the rate we agree on? *

I agree to the Applicant Terms. *

Questions? careers@precisionfederal.com · See all open roles