AI Talent

We deliver world-class AI talent quickly and cost effectively. Our deep interviewing and vetting processes ensures you get only the highest quality talent. Whether hiring freelancers, part-time, full time, or fully managed end to end project management services, Eventum enables your team to build market leading tech faster.

Hire elite talent
1 week risk-free guarantee

Trusted by

PlailabsDeepcellSanasVoiceNouns
40+
Candidates
Top 1%
Elite AI Talent
99.2%
Placement success rate

Why companies hire with Eventum

Unlocking the path to extraordinary talent

With Eventum you recruit top 1% talent from a manually curated and manually vetted network of global ML engineers, researchers and data scientists within days.

We will help you find best hire match from our vetted network of AI experts: Junior Devs, Senior Devs, PhDs, Kaggle Grandmasters, with AI degrees from top schools and experience at fast growing startups and large tech companies.  Hire from 1 engineer up to a whole team.  We can even help manage them.

Step 1

Speak with one of our AI experts

Our experts with over 14 years applied AI experience will help work out your talent and project needs
Step 2

Get tailored talent recommendations

You choose from a short list of hand-picked professionals who we think are the best fit for you
Step 3

Project
Kick-off

Selected talent starts within 48 hours with a 1 week no-risk guarantee

Services

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Recruiting AI talent

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Your recruitment needs are at the core of our business. With our flexible approach and a large candidate pool, we are able to match you with talent across multiple roles and engagements.

Flexible engagements to suit your needs:
- Freelance
- Part-time
- Full time
- Project based
- Hourly based

Our elite talent pool offers a vast range of expertise in AI domains:
- Junior engineers
- Senior engineers
- CTOs
- Tech leads
- Product managers
- Project managers
- MLOps
- DevOps- Scientists
- Researchers
- MLOps
- DevOps

Headhunting

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If your company has very specific needs for specialists outside of our talent pool, we are able to source talent for you on demand.

Our talent recruiting and matching is based on deep technical interviews, on par with big tech companies, rigorously vetting talent for expertise in ML theory and software engineering.

Customized teams

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Looking to build out a full AI team?

We will hand pick best talent, create teams of 2-10+, and, if needed, help you manage them throughout the onboarding process and through project delivery if required.

Specialization

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Our talent pool of engineers, researchers and scientists specializes in the following areas of AI:

- Generative AI
- LLMs / NLP
- Computer vision / Stable Diffusion
- MLOps
- AutoML
- Data science
- Reinforcement learning
- Time series / forecasting
- Dynamic pricing
- Recommendation systems
- Unstructured Text -> Structured Data
- Marketing campaign analysis
- Client analytics
- Public data mining
- Product analysis
- A/B test design and implementation

The Eventum Guarantee

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We stand behind our talent and we offer a 1 week no-risk guarantee when hiring talent with us.

If you are not completely satisfied with the selected candidate within the first week, we will swiftly provide a suitable replacement without any cost.

You only pay when you are satisfied with your new hires.

Why hire with us

Pretty much a no-brainer for tech companies
Time to hire
Interviewing process - time cost
Extra 40% overhead costs for vacation, benefits, taxes
Equity compensation
Scalable and on demand teams
Systematized vetting process
1 week risk-free guarantee
Flexible arrangements
Training and employee development
Expertise level

Cultural fit
Upfront recruitment costs

Eventum

2 - 7 days
Up to you
Hire team from 1 - 10+ in record time
Hire freelancers, full time, part time, project or hourly based
Minimal
Specialized professionals to solve specific problems/specialized to your needs
Choose candidates fit from a vast pool in days

Full time hire

7 - 9 weeks
40+ hours per candidate
Not possible, very time consuming
Extensive
Broad skillset, not used efficiently
Can be hard to gauge and be easily missed

Testimonials

"Eventum built and managed our ML team, models, and software from the ground up at below market rates delivering incredible results. They are an essential partner for us that I couldn’t recommend more highly."

- Jim Benedetto, CAO PLAI Labs

“Eventum helped us go from stuck to cutting edge in a matter of months, rewriting our entire ML training stack and continually supporting our R&D efforts.”

- Kevin Jacobs, VP Data Science, Deepcell

"Eventum came in with tremendous speed and expertise to build an MLOps platform from scratch surpassing industry standards, allowing our ML Scientists to work twice as effective. Eventum builds quickly and knows ML thoroughly — they have my highest respect."

- Shawn Zhang, CTO, Founder, Sanas

Meet the top 1% of world-class AI talent

Tap our curated global talent network
Polina        ML Engineer
Experience: 5 years
Machine Learning Research Engineer with a master degree in math and computer science, and 5 years working at both a large tech company, Huwei, and a fast growing startup, plailabs.com. Plailabs was started by the founders of MySpace, and she is  building a consumer app based on Stable Diffusion that is going viral.
Expert in:
Computer vision, Stable Diffusion, Generative AI
Also worked with:
Video, Google Cloud
Alex        MLOps Engineer
Experience: 8 years
Computer Vision and MLOps Engineer with more than 7 years of experience in software development. Wide experience in designing and implementing ML models, complex Data Pipelines and Data ingestion scenarios. Strong background in algorithms and data structures, mathematics, statistics and data analysis with special emphasis on image/video processing. Great at keeping cloud costs low and ML teams productive.
Expert in:
MLOps, Computer vision, Team Lead
Also worked with:
AWS, Google Cloud, Kubernetes
Dmitry      ML Engineer
Experience: 3 years
Gold Medal at International Physics Olympiad. Graduated from one of Russia’s top universities, MIPT. Worked on rebuilding DeepCell's (Raised >$70M) computer vision pipeline for identifying cell types in a cell sorting microfluidics machine. Worked on a small AI super team building an AI quant system from the ground up.
Expert in:
Computer vision, Quantitative Finance, Self-Supervised Learning
Also worked with:
pytorch_lightning, convex optimization, hydra, tree ensembles
Sergey       MLOps Engineer
Experience: 8 years
Sergey is a hands-on Machine Learning Engineering Manager with a lot of experience in production software engineering. Loves to work with challenging cross-functional projects. He has 7+ years of professional experience in different areas of machine learning usage: recommendations, logistics, audio/video processing, and applied chatbots
Expert in:
MLOps, Kubernetes, ETL, Team Lead, Chatbots, RecSys, Audio
Also worked with:
Data Engineering, Cloud
David       NLP Researcher
Education: PhD
David’s research efforts in neuroscience and deep learning have spanned over a decade, and include 11 publications and multiple blog posts (https://medium.com/@dwbressler). In all, his research has been cited more than 500 times in scientific literature. David has been working with production LLMs for over 3 years.
Expert in:
NLP, Computer Vision, LLM Fine-tuning, LoRa, RLHF
Also worked with:
Neuroscience, ChatGPT, Claude
Emil      ML Engineer
Experience: 4 years
Emil is a very strong ML engineer and researcher who specializes in computer vision. He is able to train neural networks from scratch, reproduce papers, come up with novel research ideas, and do all of the end-to-end engineering for a production system. An absolute workhorse who is on his way to do big things.
Expert in:
Computer vision, Stable Diffusion, MLOps
Also worked with:
AWS, google cloud, Generative AI
Stanislav   ML Engineer
Experience: 4 years
Passionate machine learning engineer with deep experience in audio- and image-based machine learning algorithms. His main expertise is developing ML algorithms from scratch, including problem research, data collection, development, and production deployments. He has experience in startup building and managing a group of people.
Expert in:
Speech, Audio, Voice cloning, Voice enhancement, TTS
Also worked with:
AWS, Docker
Danil       ML Engineer
Experience: 6 years
A rare breed of AI + Blockchain expert. Has experience ranging from building his own startup to utilizing homomorphic encryption to make encryption work with neural networks. Won the international math olympiad gold prize!
Expert in:
Computer vision, Blockchain, Stable Diffusion
Also worked with:
NLP, Generative AI