Hire top Artificial Intelligence Engineer
Machine Learning (ML)
Java
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iOS App DevelopmentWhat is Artificial Intelligence and Who is an AI Engineer
Artificial intelligence (AI) engineering is the process where algorithms are used to develop AI-based applications. Artificial intelligence refers to machines performing tasks typically done by human beings.
An artificial intelligence engineer uses AI to develop apps that help businesses boost efficiency and productivity.
How to Hire Artificial Intelligence Engineer
To hire artificial intelligence engineer, write a job description and post the vacancy on a tech hiring platform. Assess the basic skill sets of the engineer. You would also have to evaluate their educational background and work experience. Further, you would have to conduct a skill assessment test. Follow this up by interviewing the candidate.
Factors to Consider Before You Hire Artificial Intelligence Engineer
Before you hire artificial intelligence engineer, understand the scope of your project. Assess if you need a long-term or short-term hire. Further, consider if you need an entry-level, mid-level or senior-level engineer.
Assess your client base – what industries do they belong to? Your artificial intelligence engineer should be familiar with a range of industries. They should understand the needs of the end-user. For instance, developing an AI app for retail or e-commerce may be different from building AI apps for health care.
Understand the trends in AI engineering. For example, the metaverse has emerged as a key trend. Metaverse is a virtual world where users can work and play in an immersive space. Awareness of trends helps you in the hiring process.
Skills to Keep in Mind When You Hire Top Artificial Intelligence Engineer
Programming Languages
Hire top artificial intelligence engineer who understands programming languages like Python and Java. Python offers libraries and pre-set packages for low code. It runs on multiple platforms too. These features are useful while building AI models. Java offers easily codable algorithms for building AI models.
Frameworks like TensorFlow, Keras
Tensorflow is an open-source library for AI. It is Python-friendly and is used for a range of ML-related tasks. Keras is another library offering a Python interface. It is useful for building AI-based models.
Neural Networks
Neural networks are sets of algorithms that are aimed at identifying patterns. CNN stands for convolution neural networks while RNN stands for recurrent neural networks. RNN interprets sequential data like stock prices or temperature. CNN is used in image recognition. Knowledge of which neural network to use for a project is essential.
Cloud Platforms
Understanding of cloud platforms such as MS Azure, Amazon AWS and Google Cloud is good to have. These platforms help you scale and deploy AI models.
Agile and Scrum
Agile and Scrum are software development methods. Agile involves constant feedback and improvement at every stage of the development lifecycle. Scrum is one of the Agile frameworks that focus on teamwork.
Big Data Technologies
Knowledge of big data technologies like MongoDB, Hadoop or Spark is good to have. MongoDB is a key NoSQL database management program. It is used for working with big sets of distributed data. It is used for caching in real time, product-based apps and content management systems. Hadoop and Spark, developed by Apache, find uses in big data analytics.
Concepts of Linear Algebra and Probability
Knowledge of concepts like linear algebra and probability is important. Linear algebra is a branch of mathematics that involves linear combinations. It involves columns of numbers called vectors and arrays of numbers called matrices. Probability means the likelihood of an event. It lies between 0 and 1. This theory is used in machine learning, a branch of AI. Machine learning involves prediction of outcomes on the basis of data.
Soft Skills
Soft skills like problem-solving and communication skills are important. Also, the artificial intelligence engineer should have an eye for detail.
Steps to Hire Artificial Intelligence Engineer
Create a job description outlining the roles and responsibilities of the artificial intelligence engineer. Some of them may include:
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Turn ML models into application program interfaces so that other apps can use them.
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Create AI models from scratch
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Build infrastructure to transform data and automate it for use by data scientists
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Conduct statistical analysis and finetune results that help decision-making
Screen candidate resumes and assess educational qualifications and skill sets. Look for the right match for your business needs.
Conduct a skill assessment test for a set timeframe. The test helps you assess the candidate’s understanding of skills like big data.
Interview candidates you have shortlisted after the test. Assess their technical and soft skills before you decide to hire.
If you have decided to hire a candidate, send out an offer letter, stating terms of employment and salary structure.
How to Identify Reliable and Experienced Artificial Intelligence Engineer
Ask for references from previous employers. Talk to the references to understand how reliable the artificial intelligence engineer is, in terms of delivering projects on time. Also, find out about the candidate’s interpersonal skills and ability to lead a team.
Ask for the engineer’s portfolio of work. Judge the quality of work and the number of projects the engineer has worked on.
Evaluate the artificial intelligence engineer’s career path. Assess how committed they are to the field of AI engineering.
Why hire a Artificial Intelligence Engineer using Cutshort?
So, why Cutshort? Why not some other networking or job listing platform?
With such platforms, you first have to "hunt down" multiple candidates by spending weeks (or maybe even months) of your time only to be turned down by them later. Or worse, get bad profile recommendations for the role.
At Cutshort, you get:
Top tech talent
Talent with product development experience. Not found on conventional job portals.
Identify most relevant
Pick best fits using Skill Validator, AI Quality Grader & Screener features.
Best joining ratio
Tools to attract and identify the right candidates to improve joining ratio significantly.
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Helping Hundreds of Innovative Companies Find Tech Talent
How Cutshort became upGrad's go-to hiring platform for technical roles
The recruiting team at upGrad was using traditional job portals and agencies and was experiencing high rejection ratio by their technical team resulting in a longer Turnaround Time (TAT). The team started using Cutshort in 2018 and saw an immediate reduction in TAT and wasted effort. Today, Cutshort is their de-facto platform for hiring for technical roles.
How Blackhawk Network made its hiring smart, objective and scalable with Cutshort
When US headquartered gift card technology leader Blackhawk Network started their engineering centre in India, they turned to Cutshort to remove their operational bottlenecks and make their recruitment process faster and scalable. In just 2 months, Cutshort became their central place to coordinate their hiring across all their engineering departments.
How Biofourmis scaled up its engineering centre with 30+ closures by using Cutshort
Biofourmis, a Boston based biotechnology startup with more than $143M in funding, wanted to build a top class engineering team in India. With a small core team in place, they were looking for a solution that could scale fast and doesn’t need a lot of their precious bandwidth. In just 2 months, Cutshort helped them close more than 30+ positions by reducing their effort at each step of the hiring process.
How Antares Tech hand-picked 25+ team members using a super effective hiring process
The recruitment team of Antares Tech was looking for a self-service platform which would help capture the essence of their hiring philosophy. After trying agencies and quite a few traditional sources, they switched to Cutshort. They could easily discover talent that was otherwise hidden from them and saw a remarkably faster turnaround time (TAT).
How Sarvaha's candidate relevancy increased by 300% with Cutshort
Having used conventional recruitment platforms and consultants for years, Sarvaha required a cost-effective and time-saving solution to help them land the best tech talent.
How Swipez tripled its team size using Cutshort
Swipez, after building its core team of 5, was on the lookout for smart and effective hiring platforms to bring in new hires. Initially, they looked to recruiters and other connections, but soon realized the need for having a self-service solution to meet their hiring needs.
Frequently asked questions
Cutshort is designed for top professionals with experience in product companies and startups. Most of our users are techies, marketers, designers, sales professionals and senior execs.
Services like Gild and Belong gather candidate profiles from the internet and score them on your job descriptions. They are search tools for passive talent and are like searching people on LinkedIn. Cutshort connects you with the right matching professionals at the right time - when they are actually interested in new job opportunities. This leads to a 5x better response rate and 10x better chances of closing roles