Let us take the guesswork out of recruiting and streamline your hiring process with our data-driven recruitment services. 🚀Check also our AI Developers recruitment services.
Contact sales Our AI developers work with
We hire pre-vetted senior IT specialists with strong technical backgrounds and excellent communication skills at an unbeatable price.
🚀Also, we will augment your team with the AI developers.
Pay just one invoice – no hidden fees.
AI talent recruitment challenges in EnterprisesIn this model, the client pays for the time actually worked by the employee, there are no hidden costs or commissions.
We specialize in data-driven recruitment processes, with favorable pricing, improved time-to-hire, and retention program to ensure business continuity.
At the crossroads of technology and innovation lies the rapidly evolving realm of artificial intelligence (AI). For businesses to make most of its full potential, partnering with the right talent becomes crucial. Our AI Developers Recruitment service is designed to bridge this very gap.
Objective: Our primary goal is to connect businesses with top-tier AI Developers, Machine Learning Engineers, Data Scientists and LLM/NLP Engineers, ensuring a match between the client’s project requirements and the developer’s expertise.
We start by understanding your AI project's nuances, desired skill sets, and any specific domain expertise you may require.
Leveraging our extensive network, we identify potential candidates who fit the bill perfectly. This process includes scrutinizing their technical acumen, past project experiences, and domain-specific knowledge.
Before introducing candidates to clients, they undergo a rigorous vetting process. This involves technical assessments, interviews, and soft skill evaluations to ensure they not only possess the right skills but also align with your company culture.
We present a curated list of the best-fit AI developers for your project. The decision to proceed with a candidate remains entirely in your hands, ensuring you always get the right fit for your team.
Our relationship doesn’t end with the recruitment. We offer continued support, ensuring smooth onboarding and addressing any subsequent concerns.
The role of Machine Learning Engineers has become increasingly pivotal in the modern business landscape. These professionals specialize in developing algorithms and models that enable machines to learn and make decisions with minimal human intervention. Their expertise is crucial in a variety of sectors, from finance to healthcare, where they contribute to enhancing efficiency, automating repetitive tasks, and deriving insights from large datasets.
Data Science Specialists are at the forefront of extracting valuable insights from vast datasets. Their expertise in data mining, interpretation, and analysis is invaluable in informing business strategies and operational improvements.. This role involves a blend of statistical analysis, machine learning, and data visualization to extract meaningful insights from vast datasets. These insights are crucial for strategic decision-making across various industries.
LLM Engineers: These professionals specialize in building and refining large language models that can process vast amounts of text data. They work on cutting-edge technologies like chatbots, virtual assistants, and other AI-driven applications that require a deep understanding of human language. Tools like BERT and GPT often come into play here.
NLP Engineers: NLP Engineers focus on developing algorithms that enable machines to understand and respond to human language in a way that is both meaningful and contextually relevant. Their work is crucial in areas like sentiment analysis, text classification, and language translation
Python, Java programmers with experience in Generative AI and with knowledge on specific models, tools and frameworks dedicated for AI implementation (e.g. LangChain) for a given business needs.
Their role involves writing and optimizing code for AI applications, such as machine learning models, neural networks, and natural language processing systems. They work closely with data scientists and engineers to integrate AI into software products and services, ensuring these systems are efficient, scalable, and effective. An AI programmer must have a deep understanding of both the theoretical aspects of AI and practical programming skills in languages like Python, R, or Java.
A Big Data Engineer specializes in creating and managing an organization’s Big Data infrastructure and tools. They are responsible for designing, building, and integrating large-scale data processing systems, ensuring the efficient handling and accessibility of large volumes of data.
Key capabilities include expertise in database technologies, programming languages like Python or Java, and experience with Big Data technologies such as Hadoop and Spark. They must also possess strong analytical skills to interpret complex data and convert it into actionable insights. Additionally, Big Data Engineers collaborate with data scientists and analysts, playing a critical role in developing data-driven solutions and strategies.
We search forPython talent across a spectrum of roles including:
Our recruitment focus hones in on connecting businesses with this crucial Java expertise across diverse positions:
Our recruitment strategy is adeptly tuned to match businesses with standout Azure talent across a range of positions:
Our recruitment approach is laser-focused on linking businesses with the following specific React talent:
Our recruitment focus zeroes in on aligning businesses with top-tier AWS talent across these multifaceted positions:
Our recruitment lens is finely calibrated to match businesses with top-tier automation testing talent across a spectrum of roles:
Discovery and analysis of needs and expectations:
-Briefing,
-Initial meeting
-Price estimation with the offer
Choosing recruitment strategy & approach:
-Choosing the best team extension model of cooperation.
-Choosing recruitment strategy & approach
-Contract signing and NDA
Data-driven recruitment:
-Publishing and promotion of job offers
-Recruitment outreach to the chosen candidates
-Database matching based on skills and experience
Candidates’ proposal, interview, and offer:
-Proposing candidatures
-Setting interviews
-Candidate offer proposal
-Onboarding & employee retention
-Risk management procedures to ensure business continuity
Improving the quality of hires has a direct impact on work efficiency. That may cost $10,000 with a probability of 50%. We solve it by scoring profiles due to the project/customer requirements to make data-driven decisions instead of mood-driven decisions to avoid high-cost mistakes.
Bringing in the value of community membership
Literally, the customer’s cost-per-hire is equal to zero, we take it on our shoulders. Pre-vetting of developers is on our side, by decreasing the hours engaged by the Hiring Manager and recruiters in your team, you give them more hours for their core job. Imagine that you will save 40 hours per 1 position in total, which saves you on average around $1,000 for a recruiter and $1,000 for Hiring Manager.
The HR team monitors the employee's performance on a monthly basis, and on a quarterly basis, the team conducts deeper interviews with the customer to better understand the employee's performance and receive feedback on cooperation in the project. If something goes wrong, our team develops a recovery plan or starts the recruitment process from scratch before the employee leaves to ensure a smooth transition.
By improving time-to-hire, hired employees can add value faster. The average time to hire in 2022 for IT is 44 days. Vstorm’s average time to hire is 20 days, and we save you an average of 24 days.
Through a rigorous selection process, Vstorm successfully identified and delivered highly qualified engineers to Sonorys. These engineers seamlessly integrated into Sonorys’ R&D team, working remotely and contributing their expertise to the company’s projects. The collaboration not only met Sonorys’ technical requirements but also aligned with the long-term vision of the organization.
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The primary objective was to augment the international IT teams in Atos with highly qualified, experienced IT specialists.
Vstorm’s post-hiring efforts and community-first approach lead to a retention rate of 93%, a good rate in the European IT environment.
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