What Does An AI Engineer Do - Roles & Responsibilities Of An AI Engineer

Introduction

Excited when Alexa works on your commands.

Or when spotify shows you your much loved list of songs

And you have the best movie recommendations on Netflix for your saturday binge watch.

It would not be wrong to say that Artificial intelligence has taken up our lives or rather revolutionized our lives!!

Artificial intelligence plays a dominating role in transforming our future, and businesses around the globe. The global AI market value is predicted to touch $267 billion by 2027. In its “Future of Jobs Report 2020,” the World Economic Forum estimates that 97 million new jobs will be created across 26 countries by 2025. And so will rise the demand for certified AI Engineers. 

If you are looking to be part of a recession-free industry, a job role that demands innovation, expertise and makes you stand out. Artificial Intelligence is the career for you. It's fascinating to be an AI engineer, to replicate human brains, to revolutionize human lives with technology. It's all altogether a different ball-game!

So, no more beating around the bush. Join us in this journey to explore:

• What is artificial intelligence engineer, and what does an AI Engineer do that makes them exceptional? 
• AI engineer job description
• Skill-sets required to be an AI Engineer.
• What is the salary, industry demand and growth prospects of an AI Engineer?
• How to become an AI Engineer?
• Which are the current job openings for AI engineers?

Let’s get moving!

What Is AI Engineering ?

Artificial intelligence is not those terminators or clingy robots Hollywood shows up! 

It's a revolution. Artificial intelligence is the ability of a computer system to function like the human brain which means they have natural intelligence. Because of this ability the computer system does various things like working on extensive data, operating as chatbots to provide solutions for customer queries, detect anomalies, and working as virtual assistants like Google voice recognition, Alexa, SIRI. Financial alogotimns help in projecting stock valuations, market sentiments and much more. 

Areas utilizing this technology include:

• Finance: For the deep undertaking of user behavior essential for the identification of suspicious or fraudulent activity, many finance companies invest in AI.
• Manufacturing: Manufacturing organizations have begun using AI models to rethink the supply chain, predict maintenance issues and integrate with technological systems. 
• Health care: Healthcare industry has processes that involve a huge amount of resources. Investing in AI has streamlined the processes, saving much of the resources.
• Enterprises: For gaining insights from unstructured data essential for key decision making.

But, who makes all this happen? Who makes these computer systems work with natural intelligence - It's the AI Engineers, and these superbrains play such critical roles that have transformed our lifestyle in every way possible.

What Is AI Engineer And What Is Their Job Role?

Artificial intelligence engineer is the mind that develops, program, and trains complex networks forming AI making them function like human brains. This role demands specialization in software development, programming, data science, and data engineering. They build AI models using machine learning algorithms to draw business insights helpful in making organizational-led decisions.

The role and responsibilities of an artificial intelligence engineer  is vast, and here we have tried our best to give you a clear picture.

What do artificial intelligence engineers do that makes them so important?

To begin we will make this more interesting by sharing what a day looks like for an AI Engineer.

Let's assume the day starts at 9 am with a cup of coffee to get the mind in working mode.

9 am to 10 am - catches up on project briefs, previous day work, codes done, checks up work emails and prepares the to-do-list.

10 am - 12 pm - work calls, client calls, doing and using tools like Scikit learn.

Posy lunch - Catches up on office meetings, team briefs, discusses project progress, new ideas, features, sprint.

2 pm to 6 pm - test completed models, finishes ongoing tasks, writes unit tests, checks on metrics and checks them against the baseline. Write codes and review frequently from the client side.

6 pm onwards - finish technical tasks, and discuss project progress with stakeholders and management. If required, they may give inputs to the team, explain new technology, and keep themselves available for the client, management and team needs anytime because an AI engineer is the core of any great project delivery.

Artificial intelligence engineer have the skill-sets to develop advanced machine learning models that can provide valuable recommendations and insight into future issues or decisions having a large impact on the organization, making them an integral part of the process. Major artificial intelligence engineer job description -

• Coordinate between Data Scientists and Business Analysts
• Automate infrastructure used by the Data Science team
• Test and deploy models
• Develop minimum viable products based on machine learning
• Automate processes by utilizing machine learning
• Impart novel capabilities using AI 
• Make a machine learning algorithm that will take photos of whiteboard sketches of website layouts, drawn up by the UX team, and produce finished website layouts – which will then be used by the Software development team.
• Come up with improvements to machine-learning algorithms
• Utilize modern software development methodologies, and Deploy software in production
• Advanced coding in various languages
• Coordinating with multiple teams internally and externally
• Conducting statistical analysis and interpreting the results essential in the decision-making process for the organization
• Automating important infrastructure for the data science team
• Developing infrastructures for data transformation and ingestion
• Building AI models and explanation to stakeholders and product managers
• To transform the machine learning models into APIs that other applications can interact with.

What are the roles and responsibilities of An AI Engineer?

As AI Engineering is a very large field, there are several different tasks that an AI Engineer can do. AI Engineer job description includes:

• Coordinate between Data Scientists and Business Analysts
• Automate infrastructure used by the Data Science team
• Test and deploy models
• Develop minimum viable products based on machine learning
• Automate processes by utilizing machine learning
• Impart novel capabilities using AI 
• Make a machine learning algorithm that will take photos of whiteboard sketches of website layouts, drawn up by the UX team, and produce finished website layouts – which will then be used by the Software development team.
• Come up with improvements to machine-learning algorithms
• Utilize modern software development methodologies, and Deploy software in production
• Advanced coding in various languages
• Coordinating with multiple teams internally and externally
• Conducting statistical analysis and interpreting the results essential in the decision-making process for the organization
• Automating important infrastructure for the data science team
• Developing infrastructures for data transformation and ingestion
• Building AI models and explanation to stakeholders and product managers
• To transform the machine learning models into APIs that other applications can interact with.

What Does An Artificial Intelligence Engineer Do - The Roles And Responsibilities Of Ai Engineers At Junior And Senior Levels?

AI Engineer roles and responsibilities ( 2+years of experience)

• The AI Engineer job description is to evaluate and compare algorithm performance based on large, real-world data sets.
• Data mining from multiple sources and figuring to gain insights.
• Design and implement ML algorithms
• Acceleration of existing algorithms and models.
• Conduct research to provide technical solutions at scale for real-world challenges in various scenarios.
• Establish scalable model validation, model implementation, and large-scale data analysis.

AI Engineer roles and responsibilities ( 5+years of experience)

• Direct collaboration with Backend & Frontend
• Training new and re-train existing AI networks
• Productionization of AI networks
• Research & development of new AI models
• Concept creation
• Quality improvements for the entire system
• Drive the organizational vision in order to support the business.
• Management & execution of projects.

AI Engineer job description With Experience Of 1+ years of experience deploying AI solutions

Senior Artificial Intelligence Engineer Job Description - The Initiative - Xbox Game Studios - Microsoft Santa Monica, Ca

Responsibilities

• Work with designers, artists and other engineers to bring AI characters to life.
• Develop simple AI solutions to challenging AI problems within the performance constraints of real-time gameplay.
• Work closely with other members of the code team to ensure robust and shippable code is created across the board.
• Build code that performs well on the target hardware, both meeting game designs requirements and exceeding them.
• Ensure that the team is well versed on how to use features and that those features work well within the overall code base.
• Perform research to acquire new knowledge necessary to perform assigned tasks and maintain a process of technological evolution.
• Actively contribute to growth of new startup studio: lead by example, including demonstrating a willingness to give and receive feedback, collaborate with others to share techniques, ideas, and contribute to a positive working environment.

Hope by now you have the answer for what do artificial intelligence engineers do. To be an AI Engineer is not easy, you need to hone some serious skills. Check out our next section to learn about the essential skills an AI Engineer needs.

What skill-sets are essential to be an AI Engineer?

To be a successful AI Engineer, you need some key technical and soft skills that a credible AI training course will help you learn. Here some critical skills to be an AI Engineer:

Technical Skills

• Linear Algebra, Statistics, and Probability: An AI Engineer with expertise in statistics and even mathematics for a better analytical approach is critical. AI models are built using algorithms, which rely heavily on statistics, algebra, and calculus and so demand a deep understanding. 
• Agile Framework: An AI Engineer also needs to understand both traditional (waterfall) and agile approaches in the software development life cycle, including continuous integration, continuous delivery, and continuous deployment (CI/CD). An AI Engineer should be aware of how to improve agile processes in an IT organization with the help of machine learning.
• Programming skills: To be well-versed in AI, programming skills are a must. You need to learn Python, Java, C/C++, Perl, R to understand and implement models.
• Big Data Technologies: AI Engineers should know Spark and Big Data like Hadoop, MongoDB to be able to drive meaningful insights from large volumes of data.

Soft Skills

• Analytical skills are inevitable for a better approach towards the data as AI engineer job descriptions require review and interpret important data.
• Without business acumen, an organization's issues cannot be solved. Understanding business operations, target audience, and competitions are critical. 
• Communicate data and technical information to a wide range of audiences with varying degrees of technological knowledge. When working with multiple teams Collaboration skills are much looked at to work efficiently. 
• ou can develop these skills sets while pursuing a certified AI engineer course, but the additional experience will grow your abilities 

What Are The Salary & Growth Prospects Of An AI Engineer?

The national average salary of AI Engineer in the US is $1,19,927 as per glassdoor. Top companies like IBM pay around $1,50,192 annually. Bank of America around $63 -$69 hourly, Google around $1lac, EY approx salary is $1lac as per data available on Glassdoor.

Salary of an AI Engineer at various levels

The variation in salary can be based on the educational degree, the industry, the company, experience and location. To know more about factors affecting salary of an AI Engineer here’s a good read AI Engineer Salary by Experience, Top Locations & Companies

With so many perks and amazing roles and responsibilities of an AI Engineer, here is the roadmap to start your career as an AI Engineer.

What is the salary of an AI Engineer at various levels?

How To Become An Artificial Engineer?

To make machines work like human brains isn't easy and is the path to be an AI engineer. A solid foundation, extensive knowledge, dedication, is all it takes to be an AI engineer. Here’s how to kick start your career as an Artificial Engineer.

#1. Consider A Master’s Degree

Though not always required, getting a master's degree in a related field can help you develop your skill set, and enhance your eligibility for AI engineering positions. Some fields of study you could consider include:

• Data science
• Cognitive science
• Mathematics
• Computer science

What makes you desirable is a degree in physics, engineering, or robotics. Another possible education route to take is a BSc in Computer Science, followed up with an MSc in Computer Engineering and a further specialization in AI-related disciplines at the Ph.D. level.

#2. Take A Certification Course 

Enroll for credible AI certification courses that develop your knowledge and skills in the field of AI. Look at the course curriculum that covers:

• Python for AI & ML, SQL
• Machine Learning: Supervised Learning
• Deep Learning with Tensorflow, Keras
• Neural Networks, Convolutional Neural Network, Recurrent Neural Networks

The course should be designed as per the current industry requirements, and get you hands-on experience about AI.

#3. Practice Will Make You Perfect

Theoretical knowledge is critical but you will gain perfection by practicing the programming languages on a continuous basis. Sign up on some of the best coding websites like TopCoder, CoderByte, HackerRank to sharpen up your skills.

#4. Look For An Internship

There are multiple internship opportunities with tech giants like Google and Microsoft. Try getting one for you as an internship gets you real-world experiences, makes your resume stand out and even gets a full time role opportunity if you show excellent results. Get some essential tips for preparing for an AI Engineer interview.

How Is The Job Market For AI Engineers?

As per the latest data from Indeed, the demand for professionals with appropriate AI skills has more than doubled in the past 3 years, and the number of Artificial Intelligence job vacancies has increased by 119 percent. Evidently, the number of AI jobs in the United States alone is almost 4,000! This is almost double that last year.

Top Companies Hiring Certified AI Engineers

As per the latest data by Indeed, leading companies looking for AI engineers:

• Amazon
• Intel
• Uber
• Facebook
• Microsoft
• Accenture
• Nvidia
• Lenovo
• Samsung 

How is the job market for AI Engineers?

As per the latest data from Indeed, the demand for professionals with appropriate AI skills has more than doubled in the past 3 years, and the number of Artificial Intelligence job vacancies has increased by 119 percent. Evidently, the number of AI jobs in the United States alone is almost 4,000! This is almost double that last year.

Top Companies Hiring Certified AI Engineers

As per the latest data by Indeed, leading companies looking for AI engineers:

• Amazon
• Intel
• Uber
• Facebook
• Microsoft
• Accenture
• Nvidia
• Lenovo
• Samsung 

What Next

The future is Artificial intelligence and it is growing at a breathtaking speed. Artificial intelligence engineer jobs will keep rising and demand for certified AI engineers will jump up. The best career path is taking a certification course in Artificial Intelligence, to get complete  understanding of the key technical and non-technical AI Engineering skills to ensure a smooth transition to AI. 

We have a well-designed artificial intelligence engineer - AI course that ensures you master the key aspects of AI concepts with hands-on experience on AI tools. Sign Up Now!

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