Resumes show claims. We show proof. MLOps Engineers assessed on production pipeline architecture, drift detection implementation, and ML observability configuration — so you interview candidates, not question marks.
No credit card required.
Talent Marketplaces give you a resume. We give you the source code.
Candidate A
Software Engineer
Self Reported
2024
Experience
5 years React / Frontend Development
No portfolio links
Previous Roles
X-Corp
Tech Solutions Inc.
Education
B.S. Computer Science — State University
• UNVERIFIED CLAIM
Verified ProofedVerified Engineer
ConnectDevs Intelligence Dossier
SAM TECH SCORE
98/100
CODE QUALITY
A+
TECHNICAL INTERVIEW HIGHLIGHTS
Play Recorded Proof
const solveHardProblem = (data) => {
return data.reduce((acc, val) => {
// Verified optimal O(n) solution
return { ...acc, [val.id]: val.performance };
}, {});
};DECISION-READY DATA
You set the criteria. Scout ranked the matches. Now choose who's worth your time.
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
Alex Mercer
Senior Mobile Engineer
2021 – Present
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
Sarah Chen
Senior Mobile Engineer
2021 – Present
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
David Rodriguez
Senior Mobile Engineer
2021 – Present
We analyze thousands of placements to give you real-time salary data for every experience level.
Role: Junior MLOps Engineer
0-2 Years
Entry-level profile with a strong foundation in CI/CD pipelines, container orchestration, and basic model deployment.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Hands-on experience with Docker and Kubernetes for containerized ML workloads.
Familiarity with at least one ML experiment tracking platform such as MLflow or Weights & Biases.
Junior Developer Hourly Rate
Average Yearly Salary ~$93k /yr
Market
Signal
Entry Baseline
Growing enterprise ML adoption is creating consistent demand for junior MLOps talent with containerization skills.
Role: Mid MLOps Engineer
2-5 Years
Mid-level profile with proven expertise in continuous training pipelines, model versioning, and production monitoring.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Demonstrated ability to implement automated retraining pipelines with drift detection triggers.
Experience with managed ML platforms like AWS SageMaker or Google Vertex AI.
Mid Developer Hourly Rate
Average Yearly Salary ~$125k /yr
Market
Signal
Operational Demand
Mid-level MLOps engineers with drift detection experience are in high demand as enterprises scale production ML.
Role: Senior MLOps Engineer
5+ Years
Senior profile with deep mastery of ML observability architecture, multi-model orchestration, and infrastructure-as-code at scale.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Proven track record designing observability systems tracking statistical model degradation across production fleets.
Experience leading MLOps platform buildouts supporting dozens of concurrent production models.
Senior Developer Hourly Rate
Average Yearly Salary ~$152k /yr
Market
Signal
Architecture Lead
Senior MLOps architects commanding premium rates as enterprises require sophisticated model lifecycle management.
Traditional agencies take weeks. Our Intelligence Engine runs in parallel to deliver decision-ready profiles in real-time.
Hour 0
Signal Ingestion
You define the stack. Scout maps intent signals across 550M+ profiles.
Hours 2–24
Parallel Processing
Scout scans candidate profiles while Pilot launches multi-channel outreach. The system works asynchronously while you sleep.
Scout
Mass Ingestion
Parsing your role. Scanning 800M+ engineers. Surfacing matches—live results.
Pilot
Engagement
Sending interview invites. Tracking responses. Moving candidates to SAM—pipeline
SAM
Validation
Conducting interviews. Evaluating skills. Compiling decision-ready report now
const score = validate(dev);
if (score > 0.92) dispatch(shortlist);
Hour 48
You Receive Your Shortlist
3 Decision-Ready Profiles delivered to your dashboard.
STATUS: READY
Intelligent Shortlist
Candidates Found
1,204
Validated Skills
MLOps, Node, Go
Top Matches
03
Marketplaces show you profiles. We show you capability.
The Problem
When you browse a talent marketplace, you are guessing. You see a resume that claims '5 Years MLOps,' but you don't know:
Can they configure deep observability frameworks to capture silent model failures, or do they rely exclusively on basic infrastructure monitoring?
Have they implemented automated drift detection that distinguishes concept drift from data drift in production?
Can they prevent false positive alerts during natural data distribution shifts without missing actual degradation?
The Solution
ConnectDevs removes the guesswork. We don't just send profiles; we send Structured Intelligence. Every candidate is interviewed by SAM against the specific MLOps challenges you care about. You don't guess if they are good. You know.
Unverified Claim
MLOps Developer
5 Years Experience
Verified Proof
CODE CHALLENGE
Solve a problem using algorithms
SAM INTERVIEW
Discuss alternative approaches and their trade-offs
TECH SCORE
98/100 Algorithm Score
GITHUB AUDIT
Active Open Source Contributor
For MLOps Engineers, we specifically test for production pipeline architecture, drift detection implementation, and ML observability configuration. You get the raw data before you even interview.
Agencies charge a markup every hour. We charge a flat platform fee. You keep the savings.
Number of developers
3 Devs
1
10
Role seniority
Base Salary: $120,000
Includes 35%
Zero Markup
Estimated Yearly Savings
If SAM doesn't surface interview-ready candidates your LinkedIn search missed—you pay nothing.
FLEXIBLE
0%
Zero Markup
We don't inflate developer rates or take recruitment fees.
Cancel Anytime
No lock-ins. No notice required. Keep your data.
Average time-to-shortlist
Global Talent Network
Most teams hiring MLOps engineers also need model serving, experiment tracking, and cloud orchestration capabilities.
Everything you need to know about sourcing, assessing, and hiring top MLOps Engineers through our platform.
SAM's technical interview presents candidates with production scenarios involving silent model degradation. They must demonstrate configuration of drift detection systems tracking AUC shifts, precision decay, and confusion matrix changes. You receive a scored report detailing their observability architecture capabilities.
Senior MLOps engineers command average salaries around $165,000 annually. Traditional agencies extract 20-35% placement fees on top. ConnectDevs operates on a flat $69/mo subscription with zero markup, significantly reducing total hiring cost.
The Scout agent searches 800M+ public profiles for precise CI/CD pipeline and ML infrastructure signals. This delivers a targeted shortlist in days rather than the weeks typical of manual sourcing.
Dedicated MLOps specialists dramatically reduce model deployment failures and production incidents. If your organization runs multiple models in production with SLA requirements, a specialist pays for itself in avoided downtime and faster iteration cycles.
SAM interrogates candidates on statistical threshold calibration for drift detection systems. The structured evaluation reveals whether they understand the difference between concept drift and data drift, and how to configure alert sensitivity appropriately.
Every ConnectDevs engagement provides raw assessment data upfront, including competency scores and recorded technical interviews. Audit the data before you invest interview time to minimize the risk of a costly mis-hire.