ML Engineer

A Model That Works Doesn't Mean It Works at Scale

  • One engineer, not a data scientist stretching into infrastructure
  • Owns deployment, monitoring, and retraining, not just the build
  • Ships models that stay reliable under real production load
No fragile deployments. No silent model drift.
4.8/5 avg.
Google N
Goodfirms N
Clutch N
Product Hunt
  • Leader in Managed Virtual Assistant Services
Heroimg Rolepage 26
10,000+ Active Assistants Powering 10,000+ Companies

What Wing Assistants Get Done Every Day

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Model deployed to production, inference endpoint confirmed stable before end of day.
  • Deployed via AWS SageMaker
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Pipeline optimized for latency, response time confirmed improved under real load.
  • Tuned in TensorFlow
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Model drift detected and flagged, retraining triggered before accuracy degrades.
  • Monitored in Weights & Biases
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Production incident traced to root cause, fix deployed before it affects users.
  • Debugged via GitHub

Your ML Engineer Handles

01
Model Deployment & Serving
  • Deploy models to production
  • Build inference endpoints
  • Manage model versioning
02
Pipeline Optimization
  • Optimize inference latency
  • Reduce compute costs weekly
  • Automate retraining pipelines
03
Production Infrastructure
  • Manage cloud infrastructure
  • Configure autoscaling
  • Maintain deploy environments
04
Monitoring & Retraining
  • Monitor for model drift
  • Track production performance
  • Trigger retraining workflows
05
Testing & Quality
  • Test models under load
  • Validate deployment rollouts
  • Review infrastructure changes

How it Works

Be as involved (or uninvolved) as you prefer – our expert recruiters will guide you through every step, ensuring a smooth and seamless experience.
  • Step 1
    Meet us to discuss
    your requirements
  • Step 2
    We shortlist talents
    for your review
  • Step 3
    We interview and
    assess candidates
  • Step 4
    The perfect Wing Assistant joins your team

Measured Results Across Teams

Real companies. Defined ownership. Measurable outcomes.

Delegate Everything but Leadership.

Nobody Notices the Pipeline Until It Breaks at 2 AM

A model that works in the notebook still needs infrastructure to survive real traffic. Nobody budgets time for that until it fails.

Your Wing ML Engineer owns that infrastructure, so it doesn’t fail on your time.

How Wing Keeps Your ML Pipeline Moving

This isn’t a freelance hire or a data scientist stretching into ops. One dedicated ML Engineer stays on your infrastructure, backed by Wing’s QA, supervision, and support.

Flexible, No-Commitment Monthly Support

Scale up during major deployments or infrastructure migrations. Scale back after without losing pipeline context or deployment history.

Secure and Compliance-Ready

Wing is ISO 27001 compliant and SOC 2 certified. Data is encrypted in transit and at rest, with restricted and logged access.

NDAs and Custom Marketing Policies

Your engineer works inside your cloud environment, model registry, and deployment tools with role-based permissions you control.

Coverage That Doesn't Break

One engineer stays on your infrastructure over time. If availability changes, coverage continues without losing deployment history or pipeline context.

We Meet Challenging Talent Needs and Ensure Ongoing Success

Our resources and systems are designed to deliver tailored solutions that go beyond the basics, empowering your business to thrive.

Benefit from a dedicated Client Success Manager (CSM) who will be your single point of contact for all your needs. Your CSM will ensure smooth onboarding, provide ongoing support, and proactively address any concerns to maximize the value of our services.

We can work with you to analyze your requirements, and can launch new recruitment processes/ roles exclusively tailored to your needs, in your budget.

Your assistant isn't alone. They're supervised by both Wing's Team Captains and Supervisors.

Additionally, you can opt-in to use sophisticated artificial intelligence technology that flags potential issues ahead of time to our supervisory team, who work to proactively resolve issues.

If quality is your goal, Wing remains the best choice in this industry.

We can work with you to analyze your requirements, and can launch new recruitment processes/ roles exclusively tailored to your needs, in your budget.

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Operational Ownership, Powered by the Wing Workspace App

Wing doesn’t just assign an assistant. We run execution through a centralized, human + AI–powered workspace built to keep work moving around the clock.

  • Real-time task visibility and status tracking
  • Documented workflows with built-in oversight
  • Structured handoffs and cross-time-zone continuity
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Highly Rated by Operations & Leadership Teams

4.5

Google Cicle
123 Reviews on Google

4.7

Capterra N
51 Reviews on Capterra

4.8

Goodfirms N
10 Reviews on Goodfirms

4.8

Clutch N
18 Reviews on Clutch

Hundreds of Stellar Client Reviews

Clutch N
Overall, I have been very pleased with each aspect of hiring my Wing VA. We were looking at a variety of virtual assistant programs; what made us choose Wing was the fact that their talent had specific marketing experience... Working with Wing is seamless. They have a robust platform that makes communicating with our VA incredibly easy. It also helps that they act quickly and are incredibly responsive...
Christine Mulvey
Christine Mulvey
Director of Marketing
charlesgate.com
Google Cicle
I've had the best VA experience so far after multiple tries. The app is easy to use to communicate and create tasks, there's loads of real-person communication, and my assistant was so capable at MANY things. He was so good that every week I found more things I could take off my plate and all for a low fixed price per month. Great value and it's taken a lot of stress off me.
Kelsey Galarza
Kelsey Galarza
Co-founder, Orange Marketing orangemarketing.com
Google Cicle
Amazing service! Excellent customer support and the work done by my assistant Kirti S. from Wing is top notch. I’ve enjoyed the help and the genuine personality and willingness to learn. Also a big call out to Maryann U. my customer success manager. She is fantastic and so full of life.
Chris Mullaly
Chris Mullaly
Founder and Managing Partner spiruscapitalpartners.com
Capterra N
Wing is an innovative software-powered interface to virtual assistants. Wing has provided a software-augmented virtual assistant service that's unique in the field. Just as important as the software platform is the quality of their assistants behind the scene. Their ability to organize and run a process of matching our needs with available talent was successful. Wing is easy to use.
Roy Chua
Roy Chua
Principal AvidThink avidthink.com
Google Cicle
Wing provides exceptional Virtual Assistant services and an accompanying productivity platform. Using Wing has been incredibly beneficial for our business, allowing us to explore some things in far more depth, or scale up some operations more effectively. Some of the benefits far exceed what you might expect from a virtual assistant in terms of capabilities and outside traditional administrative work.
Dylan Schiemann
Dylan Schiemann
Co-Founder &CEO
livingspec.com
1921
What I like best about Wing is the quality and reliability of their virtual assistants. We started with one assistant and were so happy with the experience that we’ve since onboarded additional VAs. I’ve also confidently recommended Wing to colleagues and contacts looking for virtual assistant services. The combination of strong support, trustworthy assistants, and a seamless experience is what sets Wing apart for me.
Marysa C
Marysa C.
Mid-Market (51-1000 emp.)

ML Engineer Pricing

Part-time or full-time coverage available, with bilingual support if your team requires it.
Full-Time
16% Savings

$2,999/Month

  • 160 Hours per month
  • Dedicated ML Engineer
  • Free replacement
  • Customer Success Manager
  • Rigorous quality control and supervision
  • Wing Workspace App
  • Your timezone - Any hours you want
  • Share with colleagues
  • Unlimited file sharing/storage
Part-Time

$2,199/Month

  • 80 Hours per month
  • Dedicated ML Engineer
  • Free replacement
  • Customer Success Manager
  • Rigorous quality control and supervision
  • Wing Workspace App
  • Your timezone—choose from designated slots
  • Sharing is limited
  • 10 GB file sharing/storage limit

Popular Questions

Yes. Dedicated ML engineer plans are month-to-month. No contracts, no commitments, just consistent coverage.

Book your ML engineer and Wing will match you within 24 to 48 hours based on your model, infrastructure, and deployment requirements.

Turing and similar platforms use algorithms to match talent with no human oversight after the match is made. Wing gives you one dedicated engineer, backed by a Success Manager and QA team. See Wing reviews from technical teams.

An AI developer builds and integrates models into your product. An ML engineer deploys, monitors, and maintains those models in production at scale. If you're not sure which fits, book a call and Wing will scope it. See Wing's AI Developer role for the build-side comparison.

Your Wing ML engineer does. They deploy, monitor, and retrain as needed to keep your model performing.
That stays. Your engineer learns your deployment environment, your scaling patterns, and your production quirks. That institutional knowledge catches drift before it costs you.

Wing covers model deployment, pipeline optimization, production infrastructure, and monitoring. Need talent sourced at volume instead of one hire? See Wing's AI Training page.

AI tools can automate a deploy script. They can't diagnose why a model behaves differently under real traffic, or know which of your infrastructure quirks caused the failure.

Wing replaces them within 24 hours at no extra cost. Context stays in Wing Workspace, so your deployment history and pipeline context don't reset with someone new.

Yes. Wing is ISO 27001 compliant and SOC 2 certified. Access is permission-based and logged.