The strategic approach to hiring AI talent that scales

Traditional hiring approaches miss the nuanced difference between research-focused PhD candidates and engineers who can ship production ML systems. Let's map out the specialized expertise your AI product actually needs to reach your next milestone.

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The AI hiring landscape requires specialized navigation.

With AI roles evolving faster than job descriptions can keep up, most companies are hiring for yesterday's requirements. We analyze your technical architecture and product roadmap to identify exactly what expertise will drive your next growth phase.

92%

Candidate Retention

Our candidates stay with clients beyond their first year, beating industry average by 12%

87%

Position Fill
Rate

Tech positions successfully filled within agreed timeframes across AI and software companies.

96%

First-Year Performance

Placed candidates exceed performance expectations in their first year at tech companies

Here's what people say about us

Using Omnes Group services, we are able to quickly fill positions that we feel are necessary at a given moment. It allows us to have a quick turnaround when it comes to either internal projects or requests that come from existing or new customers.

Allison testimonial Allison Tam, Co-founder Renhead

Very attentive, resourceful and helpful for first-time companies who would like to hire contractors or employees remotely. The quality of people is very good.

eugene testimonial E. Feinberg, CTO Recogni

We really liked the quality of the leads that Omnes sent our way. All were very high profile candidates. We didn’t have the time and resources internally to source the candidates, and Omnes did a much better job that we were doing internally.

Micha testimonial Micha Mazaheri, Founder Paw.cloud

Omnes was patient enough to hunt for candidates that matched our desires for skilled tech talent with a high degree of ownership and genuine industry passion. Hired candidates are already adopting internal culture.

Zion testimonial Zion, Co-founder Shuriken Trade

Omnes Group gets the nuance. They knew we needed buidlers who understand that bringing billions of people onchain requires more than DeFi experience, it's about creating frictionless naming infrastructure that just works.

Cap testimonial thecap.eth, Founder Namespace.ninja

Start hiring AI talent in 3 steps

Requirements Analysis

We dive deep into your AI project needs. Are you building recommendation systems, computer vision applications, or NLP solutions? This determines whether you need someone with experience in collaborative filtering, CNNs and object detection, or transformer fine-tuning.

Candidate Assessment

Our evaluation goes beyond checking if someone lists "TensorFlow" on their resume. We assess how candidates approach model architecture decisions, data pipeline design, and production deployment challenges.

Meet Niche Talent

Meet candidates who understand your specific AI domain challenges. Whether you're building recommendation engines, computer vision pipelines, or LLM applications, you'll speak with experts who've solved similar problems.

We take a deep-dive into your AI product architecture, current team capabilities, and growth roadmap to have a clear understanding of the candidate persona. This helps us understand whether you need research expertise, production engineering skills, and how the role fits into long-term structure.

Finding AI talent requires understanding the difference between research-focused candidates and those with production experience. At Omnes, we specialize in matching companies with AI professionals who have the right combination of technical skills and practical implementation experience for your specific use case.

Machine learning engineer hiring typically takes 6-8 weeks with specialized recruiting expertise, compared to 12-16 weeks with traditional recruiting approaches. The key is understanding technical requirements upfront and having access to pre-qualified AI talent pools.

AI engineer salaries vary significantly based on specialization and experience level. Senior machine learning engineers typically command $180-300K+, while specialized roles like AI research scientists or computer vision experts can exceed $400K. Omnes helps you understand market rates and build competitive offers.

Start growing with omnes. today

Hire the best software engineers, QA engineers, data scientists, UX/UI designers, and other tech talent with just a few clicks.

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