Whether you require the expertise of freelance, part-time or full-time AI professionals, or comprehensive project management services, Eventum enables your team to rapidly develop cutting-edge technology, even with limited resources.
Our primary source of machine learning talent comes from our extensive personal network. Initially, we were seeded by communities from competitive machine learning hackathons, and now, the majority of our recruitment is referral-based.
At the moment our talent pool spans over 7,500 manually vetted AI and ML professionals in the fields of AI, ML, LLM, Data Science, Computer Vision and MLOps.
That is how we are able to match you with the talent you seek within 48 hours!
At Eventum we have an extensively manual vetting process, similar to big-tech style interviews for knowledge in ML theory, ML practice, Software Engineering, past ML projects, and communication style.
Our interviews are very rigorous, and our acceptance rate is very low where just a few percent of candidates make it through to our pool. Each candidate screening involves 3-6 hours of our senior team performing technical interviews with the prospects.
We recommend that any company lacking an in-house expert with experience in managing ML teams (which is quite rare) should consider including a technical project manager (TPM) who can attend weekly technical meetings and provide advice and/or oversee the projects.
This becomes especially crucial in the initial stages when attempting to achieve ML-related goals.
At Eventum, we are able to provide project oversight with out designated project and product managers who will help you bring your idea to reality.
We offer a 1 week guarantee on our talent we place within your organization. You only pay once you are satisfied with the work, or we find a replacement candidate FREE of charge.
Usually we are able to match our clients with specific key talent within 48 hours. In an instance where we would need to search for a specific talent (someone who happens to be outside of our pool), the turnaround times could vary between 1 week to several months.
Hiring top data science talent through traditional methods can be a burdensome, costly, and time-consuming process. This challenge is amplified by the high demand for skilled professionals in the data science field, making it even more difficult to find individuals who not only possess the necessary expertise but also align with your company culture.
Through Eventum, you can swiftly access the top 1% of talent from a meticulously curated and thoroughly vetted network of global data scientists, engineers, and researchers specializing in data science. Within a matter of days, you can tap into this exceptional talent pool.
Identifying and recruiting top data science professionals, irrespective of their seniority, can be a demanding endeavor that requires considerable time, resources, and entails inherent risks.
We put together a guide on How to Build a Market Leading AI Product: Strategies for Hiring Elite ML Teams.
Embark on an inspiring journey to build a market-leading data science product by exploring strategies for assembling outstanding data science teams. Dive into captivating insights and techniques in this tantalizing overview.
Discover the keys to hiring top-tier talent and gain a competitive edge in the dynamic data science landscape.
"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."
“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.”
“Eventum came in and quenched our MLOps fire in quick order ensuring our ML Scientists could make rapid progress. We then immediately hired them to help build us a generative AI audio model from scratch”
Generative AI next gen social media. Plai Labs was founded by previous founders of MySpace and Jam City, Chris DeWolfe and Aber Whitcomb, receiving $33M in Seed Funding from a16z.
- We acted as interim ML team lead
- Built a team of 6 ML Engineers and 1 Product Manager from the ground up
- Launched app into the App Store in 4 months, currently going viral
DeepCell ($70M Series B) is a company building micro-fluidic microscope based cell sorting tech.
- Rewrote deep learning computer vision pipeline
- Applied self-supervised representation learning, adversarial learning, recalibration, and neural network architecture design
- Dropped manual labelling requirements from millions to thousands
- Provided R&D roadmapping & mentorship of ML team
Accent removal for call centres, enabling companies to match call centre operator voice to the geography of the customer. $50M raised
- Developed custom CI/CD, dramatically improving developer efficiency and decreasing chances of model regressions
- Created a cloud-agnostic solution to model training
- Decreased cloud spend by ~$30K a month
- Enabled a further 70% cost reduction in model training
There is a 1 week trial period. If you are unhappy, you will not pay and we will find you another match.
We do big-tech style interviews for knowledge in ML theory, ML practice, Software Engineering, past ML projects, and communication style. Interviews are very rigorous, and our acceptance rate is very low.
Yes, this is required of all talent
2-7 days
This varies by project, but often times clients want us to help provide technical advice on how to architect their AI system, have a part-time AI team lead to manage their team, or just provide end-to-end product development and delivery.
Yes! There is no limit to the size of team we can build for you. We are currently working with one client that wants a 20 team hire.
Yes! Our experienced leaders who have build AI products and lead AI teams before at big tech companies and startups that have unicorned will gladly project manage for you part time. This is highly recommended if your leadership does not have any experience building AI systems, particularly if you are training your own models or doing R&D.
No, there are no upfront recruiting costs
We will invoice you after the first 2 weeks, and then monthly thereafter
Eventum provides a risk free way to get extremely good AI talent at reasonable prices. You take on very little risk with our money back guarantee, and you can hire only the talent that has proven themselves after a few months. We also do very rigorous interviews similar to what's done at a company like OpenAI or Google.
We engage on a consulting bases for hourly rates. Some of our long-term startup partners also provide a small amount of equity compensation so that our long term objectives are even more aligned. Equity compensation is of course never required.
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