Artificial intelligence (AI) is infiltrating across all industries and, thanks to human ingenuity and machine learning combining forces, we’re witnessing an adaption in technology like never before.
According to Statista, the AI industry will double in size over the next two years. If this is so then businesses which successfully harness AI’s limitless potential are sure to see success.
To guide you comprehensively through the process, we have meticulously curated all the essential details pertaining to building an AI team.
Once you have established your business goals and have set out on the path to AI project completion, it’s time to build an AI team. Assembling your own AI team is no easy feat. Knowing who does what in an AI team will see you on the path to success.
Vital roles to consider include:
Product Manager: crucial for the successful development, deployment, and ongoing management of your AI project. They bridge the gap between business objectives and technical implementation, ensuring that the product aligns with market needs and delivers value to its users.
AI Engineer: responsible for the technical implementation of AI solutions, from algorithm development to deployment. The key responsibilities and functions associated with being an AI engineer include:
Machine learning engineers: focus on the development, implementation, and optimisation of machine learning models. The key responsibilities and functions associated with a machine learning engineer include:
Data Engineer: The role of a data engineer revolves around creating and maintaining the infrastructure needed to handle and process data effectively. They lay the groundwork that enables data scientists to extract insights and build AI models that can be seamlessly integrated into production environments.
Data Scientist - have a specialised skill set, data scientists excel in distilling meaningful insights from data, crafting predictive models and refining algorithms. Recruiting the best data scientists is essential for the successful development and integration of your AI team.
The key to completing your AI projects in the quickest and most efficient manner is ensuring your AI team has all the essential personnel needed to build the right foundations to develop your AI.
Depending on the magnitude, extent, and intricacy of your AI project there are additional critical roles you might want to consider incorporating into your AI team.
These include:
We can help you to determine the necessary roles you need to hire for in order to successfully complete your AI project and, using our proprietary team building algorithm, we can help you find the gaps in your team and source thoroughly vetted and verified tech talent to fill these gaps.
Now that you know which roles you need to assemble your killer AI team, there are other factors you'll need to consider.
Among these factors, the geographical arrangement of team members stands out as a crucial aspect, significantly impacting the cost-effectiveness, quality, and operational efficiency of the project. Keep reading to discover how a hybrid AI team operates in comparison to a remote AI team.
An AI company whose tech team members are located in a country or continent distinct from the client or central office.
Deploying a Remote AI team to tackle your AI projects has many benefits, including reduced labour costs, access to diverse talent pools, and flexible working hours.
Working on product development with a remote team presents challenges like communication barriers, cultural differences, legal issues, or concerns about quality control. However, solutions to these issues are available today.
At Notchup, we assist tech leaders in overcoming these barriers, enabling them to build exceptional AI teams.
A hybrid AI team combines different variants of location-based models, similarly to remote teams it also offers cost-effectiveness, scalability, diversity, and quality. However, it is not without its challenges, such as complexity, coordination, integration, and communication.
Establishing your remote AI team opens doors to a vast pool of developers, enabling you to uncover and leverage the distinctive skills of hidden talents.
Commitment to high quality development - our teams are skills tested to ensure they are a highly skilled developer.
Cost saving - Reduce costs related to infrastructure, equipment, and software by outsourcing your AI needs to a team that already has these resources.
Scale according to your needs - you can expand and shrink your team, add additional AI engineers when you need them. (This will also help you with cost effectiveness!)
We’re also helping our clients to tackle other remote team issues with our network of partners. Notchup clients can receive discount on services with companies such as SeedLegals to tackle their legal issues.
Get started building your perfect remote AI team with Notchup.
