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Machine Learning Engineering

Hire ML
Engineers.Model Building. MLOps. Data Pipelines.TensorFlow. PyTorch. scikit-learn.Production ML in weeks, not quarters.AI-Augmented from Day One.

Custom Starting price
ML Engineer

Hire dedicated machine learning engineers who design models, build training and inference pipelines, and ship MLOps that holds up in production — 10-20X faster with AI Agent Teams.

Trusted by 247+ companies worldwide AI speed. Production-grade rigor.
Code Reviews on Every PR 95%+ Test Coverage Production-Grade CI/CD Architectural Best Practices

Top-rated on Clutch, GoodFirms & more — with 100+ 5-star reviews.

Trusted by 200+ companies worldwide

The AI-First Difference

How One Engineer Replaces Eight

Our engineers don't work alone. They orchestrate 6+ specialized AI agents that handle product strategy, design, code generation, testing, DevOps, and security in parallel. Think conductor + orchestra, not solo performer.

6+ AI Agents
Working in parallel
10-20X Velocity
Vs traditional teams
Production-Grade
Senior engineers + AI tools
Side-by-Side Comparison

Traditional ML team vs AI-First engineer — what's the difference?

Traditional Team (8 people)
AI-First Engineer (1 person)
01 Monthly Cost
$64,000 - $120,000
$3,520 - $7,040
02 Hiring Time
2-3 months per role
1-2 weeks
03 Onboarding
1-2 months per person
1 week
04 Communication Overhead
High (8 people to coordinate)
Minimal (1 engineer + AI agents)
05 Development Speed
1× (baseline)
10-20× faster
06 Quality Assurance
Manual + Limited automation
AI-powered comprehensive testing
07 DevOps Setup
Weeks to configure
Days with AI automation
08 Code Review
Manual, time-consuming
AI-assisted, instant feedback
09 Documentation
Often incomplete
Auto-generated, always current
10 Scaling
Hire 8 more people
Add 1 more AI engineer
80-90% Cost Savings
10-20X Faster Delivery
1 Engineer Replaces 8 Specialists
What You Get

One AI-First Engineer = Full Product Team

01

Product Manager

Strategic planning, requirement gathering, prioritization, and roadmap definition powered by AI insights.

02

UI/UX Designer

AI-generated designs, wireframes, prototypes, and design systems that follow best practices.

03

Full-Stack Developer

Production-grade code for frontend, backend, APIs, and databases with AI code generation.

04

QA Engineer

AI-powered testing strategies, automated test generation, and comprehensive quality assurance.

05

DevOps Engineer

CI/CD pipelines, infrastructure as code, monitoring, and automated deployments.

06

Security Expert

Automated security scanning, vulnerability detection, and compliance checks built-in.

Fractional CTO + AI-First Engineering

See How Much You Save

Traditional team: $650K-1M/year. Fractional CTO + AI-First engineers: $240-420K/year. Calculate your exact savings below.

6 months
8 specialists
$8,000 /month
1 AI-First engineer
Traditional Team + CTO Cost
$384,000
8 specialists + CTO ($25K/mo) x 6 months
Fractional CTO + AI Team
$21,120
Fractional CTO + 1 AI engineer x 6 months
Total Savings
$362,880
94% cost reduction
Time Saved
4 months
3x faster delivery with strategic CTO guidance
Get Started Today

Fractional CTO included · No long-term commitment · Cancel anytime

Need a project-level estimate? Try our App Cost Calculator →
Our Process

How AI Agent Teams Deliver Your Project

01

Discovery & Strategy

AI agents analyze requirements and market data to build a precise blueprint.

1-3 Days
02

Architecture & Design

AI-first system design with UI/UX prototypes and technical planning.

3-5 Days
03

AI Sprint Build

6 AI specialists work in parallel at 10-20X velocity with continuous integration.

1-4 Weeks
04

QA & Launch

Automated testing validates every component. Zero-downtime deployment from day one.

2-3 Days
05

Iterate & Scale

AI agents monitor, optimize, and ship improvements. Evolve faster than competition.

Ongoing
Zero-Risk Hiring

Your Investment is Protected

Every engagement comes with built-in protections so you can hire with confidence.

01

1-Week Risk-Free Trial

Work with your AI-First Engineer for a full week. Not the right fit? You pay nothing.

02

48-Hour Replacement

If your engineer is not the right fit, we assign a replacement within 48 hours at no extra cost.

03

100% IP Ownership

Every line of code, every design, every document belongs to you. Full NDA signed on day one.

04

Milestone-Based Payment

Pay for results, not hours. Payments tied to clear deliverables you approve at each stage.

05

Cancel Anytime

No 12-month lock-ins. No penalties. Month-to-month flexibility after your initial sprint.

How We Work With You

AI-First Engagement Models

02

Embedded AI-First Team

Your team, AI-augmented. Full-time or part-time.

Our AI-augmented engineers integrate directly with your existing team. They bring AI Agent Teams methodology — meaning each engineer operates at 3-5X the output of a traditional developer.

Best for:
  • Ongoing product development
  • Scaling engineering without scaling headcount
  • Teams adopting AI-First practices
  • Long-term partnerships
Custom pricing
Monthly
03

Fractional AI-First CTO

Strategic AI leadership on demand.

A battle-tested AI architect embedded in your leadership team. Architecture reviews, AI strategy, team training, vendor evaluation, and technical roadmap — without the $300K+ full-time CTO cost.

Best for:
  • Startups without a technical co-founder
  • Companies beginning AI transformation
  • Architecture decisions and code reviews
  • AI infrastructure cost optimization
$5K - $15K/mo
Ongoing
FAQ

Frequently Asked Questions About Hiring ML Engineers

An ML engineer specializes in building, training, and operating machine learning models on your data — forecasting, recommendations, vision, anomaly detection — plus the MLOps to keep them healthy in production. An AI engineer focuses on integrating LLMs and agents into products (RAG, chat, automation). Many projects need both, and our AI-First engineers can cover both lanes.
Our ML engineers work with Python, TensorFlow, PyTorch, scikit-learn, XGBoost, Pandas, and NumPy, plus MLOps tooling like MLflow, Airflow, Kubeflow, dbt, and feature stores. They deploy on AWS SageMaker, GCP Vertex AI, and Azure ML.
Yes. We cover problem framing, data and feature engineering, training and evaluation, deployment, and ongoing MLOps — model versioning, CI/CD, monitoring, and drift detection — so models stay reliable after launch, not just in a notebook.
Most engineers can start within 48 hours to 1 week. We keep a bench of pre-vetted ML engineers ready. Projects with niche domain or data requirements may take 1-2 weeks for the right match.
Yes — a 1-week risk-free trial, no questions asked. If the output quality or velocity is not right in week one, you pay nothing. We also offer a 48-hour replacement guarantee.
You do — 100%. We sign an NDA on day one. Every model, pipeline, and line of code transfers fully to you. No lock-in, no hidden licensing.

Ready to Hire an ML Engineer?

Join 200+ companies who build and ship machine learning 10-20X faster with Groovy Web's AI-First engineers.

Hire ML Engineer →

1-week risk-free trial · No long-term commitment · Start in 48 hours · Cancel anytime

Start a Project

Got an Idea?
Let's Build It Together

Tell us about your project and we'll get back to you within 24 hours with a game plan.

Schedule a Call Book a Free Strategy Call
30 min, no commitment
Response Time

Mon-Fri, 8AM-12PM EST

4hr overlap with US Eastern
247+ Projects Delivered
10+ Years Experience
3 Global Offices

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1-week risk-free trial — keep the code

Hire Senior AI Engineers
Production-Grade. Your US Hours.

For startups & product teams

One senior engineer, AI-accelerated — owns architecture, security, and the last 20% AI tools leave broken. No recruitment, no ramp-up.

Trusted by 200+ startups worldwide

Production-grade delivery
4hr live US overlap
Start in 48 hours

No long-term commitment · 100% IP yours · Cancel anytime