Top 1% AI Talent Pool

Hire Top 1%
MLOps & AIOps
Engineers.

Scale your AI operations with elite engineers vetted by experts. Deploy, monitor, and optimize your models with the top 1% of global talent in under 48 hours.

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Trusted by10,000+ AI Teams

MLOps Excellence Stats

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Model Deployment Speed 99%
Infrastructure Reliability 97%
Cloud Cost Optimization 94%
CI/CD Automation 98%
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Global Compliance

We handle EOR, payroll, and local compliance in 150+ countries. Hire globally with zero legal overhead.

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ANTHROPIC
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NVIDIA

Meet Our Elite AI Talent.

A glimpse into the caliber of experts available in our pre-vetted pool. Ready to join your team today.

Zaire Kenter

Backend Developer

5 Years of Exp


Specializing in server-side architecture and database management, I have spent five years honing my skills in Python, Node.js, and SQL. My goal is to create efficient, scalable solutions that power seamless user experiences.

Desirae Lubin

UX Designer

6 Years of Exp


As a UX designer with six years of experience, I excel at creating intuitive and engaging user experiences. I am adept at user research, wireframing, and prototyping, ensuring that every design decision is user-centered and data-driven.

Mira Dias

DevOps Engineer

7 Years of Exp


Bringing seven years of experience in cloud infrastructure and continuous integration, I am committed to enhancing deployment efficiency and reliability. I thrive in fast-paced environments and have a passion for automating processes to streamline workflows.

Phillip Bergson

Product Manager

3 Years of Exp


With three years of experience in tech product management, I focus on bridging the gap between development and customer needs. I am skilled at defining product vision and strategy while ensuring that teams stay aligned and deliver on time.

Jaydon Korsgaard

Mobile App Developer

4 Years of Exp


A mobile app developer with four years of experience, I have successfully launched several applications on both iOS and Android platforms. My expertise includes Swift, Kotlin, and cross-platform frameworks, always aiming for optimal performance and user satisfaction.

Hanna Levin

Data Scientist

4 Years of Exp


With a strong foundation in statistics and machine learning, I have four years of experience in analyzing complex datasets to extract actionable insights. I am passionate about using data to drive strategic decision-making and improve business outcomes.

Top Reasons to Choose Trilokn

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Hire in 48 Hours

Our AI matching engine finds your perfect engineer in just 2 days.

Top 1% Talents

Only the top 1% of global MLOps talent passes our 5-step vetting process.

5+ Time Zones

Engineers who work in your time zone for seamless collaboration.

Employer on Record

We handle all payroll, benefits, and local compliance globally.

Trilokn vs. Traditional Hiring

Features Trilokn Infotech Traditional Agencies Job Boards
Vetting Process 5-Step Expert Vetting Resume Screening Self-Vetted
Time to Hire 48 Hours 3-6 Months Weeks to Months
Retention Rate 2X Higher Industry Average Low
Cancellation 30 Days Notice Fixed Contracts Varies
Compliance & EOR Fully Handled You Handle You Handle
Talent Quality Top 1% Global Local Only Mixed

Specialized MLOps &
Infrastructure Expertise.

Our talent pool is specialized in the most critical AI infrastructure technologies to ensure your models perform at scale.

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Model Monitoring & Observability

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Feature Stores & Data Pipelines

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CI/CD for Machine Learning

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Infrastructure as Code (IaC)

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AI Security & Governance

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Model Quantization & Optimization

2X

Retention Rate

3.5k+

Vetted Engineers

48h

Matching Speed

150+

Countries Covered

Hire MLOps Engineers in 4 Easy Steps

Our streamlined process connects you with top-tier talent faster than anyone else.

1

Tell us what you need

Share your project requirements and the specific MLOps skills you are looking for.

2

Meet the top talent

Our AI engine matches you with the top 3% of candidates within 48 hours.

3

Interview with ease

Interview the shortlisted experts and select the best fit for your team.

4

Hire with confidence

Start working with your new engineer with a 30-day cancellation policy.

"Trilokn Infotech helped us scale our AI team from 2 to 15 in just 3 months. The quality of talent is unmatched."

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Sarah Jenkins

CTO, TechFlow Systems

"The vetting process is incredibly thorough. We didn't have to waste time interviewing candidates who weren't a perfect fit."

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Marcus Johnson, VP Engineering

"Zero-risk hiring is a game changer. It gave us the confidence to hire globally without any hesitation."

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Amanda Lee, Founder @ AI.io

Frequently Asked Questions

Everything you need to know about hiring elite MLOps & AIOps engineers.

We vet for proficiency in Kubernetes, Kubeflow, MLflow, Terraform, and cloud-native AI services (AWS SageMaker, GCP Vertex AI). We also assess their ability to build automated CI/CD pipelines for machine learning and implement robust model monitoring.

Our vetting includes a deep dive into infrastructure automation, observability, and incident response for AI systems. We ensure they understand the unique challenges of maintaining high-availability AI services.

By hiring through Trilokn, you save up to 40% on total compensation costs compared to local hiring in the US or Europe, while getting access to the same (or better) caliber of talent.

Yes, we match you with engineers who have at least a 4-5 hour overlap with your primary working hours, ensuring seamless collaboration and daily syncs.

We offer a flexible 30-day cancellation policy. We also provide a 2-week risk-free trial period for every new hire to ensure a perfect fit.

Ready to Scale Your
MLOps Capabilities?

Join the world's most innovative companies hiring elite MLOps & AIOps talent through Trilokn Infotech.