Are we looking at a future that is based on Artificially Intelligence or Augmented Intelligence? Talking about the possible advantages and perils of artificial intelligence is quite easy nowadays as we have distinctive viewpoints. Artificial Intelligence is an integral part of social media and search engines and is seen as the most exciting technological advancement in the world at present. AI is growing rapidly as Statista predicts there’ll be 8 billion AI-powered voice assistants by 2023. This clearly infers the surge in demand for AI developers.

Who is an AI Developer?

Have you ever noticed that the moment you’d search for a product or a service on the search engine, a moment later, the same product or service line or a similar genre of products would be running adverts on your favourite social media platforms like Facebook and Instagram? How did that happen? It’s no magic. There’s an Artificial Intelligence Developer working behind the scenes. An AI developer works behind it all to provide user exclusive content. They go through traditional software models and machine learning models. They assist in creating AI-based algorithms in software; creating, testing and implementing AI models; along with the handling of AI infrastructure. They often work on coding as well, while working on a project, and create software and apps that a company might utilize. One example is AI which chooses which movies and TV series to recommend to you from your favourite streaming service or which things to recommend based on previous purchases.

AI Developer: Role and Job Description

AI developers often work with data engineers, ML engineers and data scientists, leveraging g the benefits of some mean AI engineer skills. They make sure that everything is running smooth and other duties include:

·         Answer various business challenges using AI software

·         Design, develop, implement and monitor AI systems

·         Explain to project managers and stakeholders the potential and limitations of AI systems

·         Develop data ingest and data transformation architecture

·         Always on the lookout for new AI technologies to implement within the business

·         Train teams when it comes to implementation of AI systems

In short, they are problem-solvers powered by traditional software development and machine learning implementation skills. This helps them to understand the problem at hand, identify the solutions and develop technological solutions for the same.

Types of AI Developer Roles:

The field of AI provides a wide variety of career options. Some of the options available in a career as an AI developer are as follows:

·         Machine Learning Engineer

·         Data Scientist

·         Business Intelligence Developer

·         Research Scientist

·         Big Data Engineer

AI Developer Salary Trends across the Globe

A certified AI professional has a promising career that is highly rewarding in all aspects. AI engineering is definitely one of the most rewarding professional career paths in the marketplace. The entry-level annual average AI engineer salary in India is around 8 lakhs, which is significantly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer’s salary can go up to as high as 50 lakhs. In Europe, the median AI engineer salary in the UK is over 60K Pounds per annum and the same in Australia would be as high as $110,000 per year. In Canada, an AI engineer’s annual salary is over 85000 CAD on average, making it an attractive destination to work at. All these figures differ majorly due to two factors- Experience and Qualifications. Top countries with maximum opportunities for artificial intelligence professionals include- the United States, Europe, India, Germany, Canada, the United Kingdom and China, among others.

Skills required to become an AI Developer

Adding on to the educational qualifications are the skills that play a key role in landing a great AI developer role. If you possess the following skills, you’re all set to rise up the ladder in no time:

·         Good understanding of algorithms and mathematics

·         Skilled in statistics and probability

·         Programming language proficiency

·         Multi-tasking and prowess with a variety of computing tools

·         Quick learning and flexible to adapt

·         Analytical skills and prototyping

·         Business acumen

Along with these skills and qualifications, a credible AI certification from MIT, Stanford, USAII™, IBM, Google, and others can leverage a higher probability of you landing a great role in the AI industry. As a successful AI specialist, you will be responsible for the following tasks:

ü  Analysing and linking AI principles with reasoning and uncertainty

ü  Image analysis and reconstruction using AI and ML approaches

ü  Creating AI-driven solutions that mimic human behaviour to finish difficult procedures

ü  Develop solutions, and evaluate and improve the performance of applications

Handling and executing such an expansive job role, you need to arm yourself with an AI certification as it simply helps in making better choices, reduces human error, can make machines more efficient, imply faster decisions, provides digital assistance and is a huge help while handling repetitive tasks with daily applications. AI and ML-driven software applications would surely create an impact and help you make a worthy AI developer career with all the perks of the AI industry.

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