AI Talent

We deliver world-class AI talent quickly and cost effectively. 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 with limited resources

Hire elite talent
2 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

Hiring AI talent the traditional way is stressful, expensive and time consuming. Especially when this profession is highly sought after, finding skilled talent that fits your company culture is twice as challenging.

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.

Hiring AI talent doesn't have to be complicated

Hire the top 1% AI talent

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 help you train and 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 2 week no-risk guarantee

We provide on-demand global AI talent

Leverage outstanding AI talent

Our mission is to connect world-class companies with world-class AI talent. We recruit our elite talent from a manually vetted network of global top ML engineers, researchers and data scientists.

Only the top 1% of interview candidates make it through the in person vetting process conducted by our internal AI experts.

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.

Project management

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We know that managing large projects at a fast paced and growing company is challenging. Our senior team members are able to lend a hand and provide you with expertise, as well as oversee and manage your teams and projects hands-on.

We are able to step in and provide hands-on assistance with your projects as:
- Project managers
- Fractional CTOs
- Fractional head of AI
- ML team leads
- Product/Project managers

AI consulting

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We will help you to identify areas within your product to implement ML in the most effective and impactful way.

As consultants we work closely with your organization to understand your unique goals and develop tailored strategies that align with your business objectives and see projects take shape from start to finish.

Our advisory expertise spans across multiple domains:
- AI consulting
- Technical consulting
- ML consulting
- LLM/NLP consulting
- MLOps and DevOps consulting
- AI team management consulting

Customized teams

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Looking to build out a full AI team but have a tight budget?

We will hand pick best talent, create teams of 2-10+, and 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

Industries

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Our candidates have worked on projects across multiple sectors including but not limited to:

Generative AI
Image, video, text, and audio generation. Training custom generative AI models and fine tuning open source models.

Government
Implementing Responsible AI Practices in Government Operations

Health
Enhancing Clinical Workflow and Forecasting ICU Transfers

Insurance
Streamlining Claims Management and Detecting Fraudulent Activities

Manufacturing
Enabling Predictive Maintenance and Optimizing Transportation Processes

Marketing
Personalizing Content and Improving Lead Scoring Techniques

Retail
Optimizing Assortment and Pricing Strategies for Retailers

Telecommunications
Enhancing Customer Support with Predictive Insights

Financial Services
Addressing Credit Scoring, Customer Churn, and Anti-Money Laundering Challenges

The Eventum Guarantee

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We stand behind our talent and we offer a 2 week no-risk guarantee when hiring talent with us.

If you are not completely satisfied with the selected candidate within the first 2 weeks, we will swiftly provide a suitable replacement without any cost.

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

Hire Talent based on Area of Expertise

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
2 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

Cost-Effective Global Network For Hiring Success

We offer you the opportunity to hire exceptional AI professionals from our vast global network, all at a significantly lower cost. With our assistance, you can find the perfect match from our carefully vetted network of AI experts, ranging from AI MSc and PhDs, national math and physics olympiad champions, and Kaggle Grandmasters, whether you require the expertise of a single engineer or an entire team.

Our dedicated talent pool comprises over 7,500+ AI engineers, researchers, advisors, and managers, hailing from top AI schools internationally and having previously contributed their expertise to tech companies like Google, Amazon, Tesla, and Microsoft.

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