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



Introduction

Excited about how Artificial intelligence has revolutionized our lives!!

Being part of the amazing world of AI is fascinating, let’s talk about the exciting career path of an AI Engineer and AI Engineer job description.

Artificial intelligence (AI) engineering is a fast-growing industry that is full of new challenges and endless opportunities for professional development. In this article, we talk about the AI engineer job description, explore some of their responsibilities, what do AI engineers do, what is the salary of an AI engineer, the importance of this role, and list the steps you can take to become an artificial intelligence engineer.

Who is an AI engineer?

Artificial intelligence engineers are the mind that develops, program, and train 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.

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

AI engineers have 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 AI Engineer job description -

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.

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 are 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 at Microsoft

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

To be a successful AI Engineer, you need some key technical and soft skills in your AI training, including:

Technical Skills

  • An AI Engineer with expertise in statistics and even mathematics for a better analytical approach. AI models are built using algorithms, which rely heavily on statistics, algebra, and calculus and so demand deep understanding. 
  • 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.

The most demanded programming languages are:

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. 
  • You can develop these skills sets while pursuing a certified AI engineer course, but the additional experience will grow your abilities 

What is the salary of an AI Engineer?

The starting salary is around $57,000 per year. Experienced AI Engineers achieve an annual salary of up to $114,000. The average remuneration is around $86,000. The variation in salary can be based on the educational degree, the industry, the company, but also the location. The average freelancer hourly rate of an AI Engineer is 76 USD per hour. Considering an 8-hour working day, the daily rate is around 608 USD per day.

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

How to become an AI engineer?

Consider a graduate degree.

Though not always required, getting a master's degree in a related field can help you develop your skillset, 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.

Take a Certification course 

There are online AI courses and certifications available that are carefully curated to further develop your knowledge and skills in the field of AI. Some areas to cover :

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

Our courses are designed as per the current industry requirements, and enrolling in our course will get you hands-on experience in mastering the world of AI.

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

Once you get a basic understanding of the key technical and non-technical AI Engineering skills, you need to enroll yourself in an industry-recognized Artificial Intelligence Course to ensure a smooth transition to AI. We have a well-designed 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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    Jyotika Prasad

    Through market research and a deep understanding of products and services, Jyotika has been translating complex product information into simple, polished, and engaging content for Janbask Training.


Comments

  • K

    Kairo Gray

    I have been an IT professional for 6 years. I want to know if I can get a job as an Artificial Intelligence Engineer or not?

     Reply
    • JanbaskTraining

      Thank you so much for your comment, we appreciate your time. Keep coming back for more such informative insights. Cheers :)

  • C

    Cruz Peterson

    Can you pls help me how I can join your institute for AI engineers?

     Reply
    • JanbaskTraining

      Glad you found this useful! For more such insights on your favourite topics, do check out JanBask Training Blogs and keep learning with us!

  • C

    Cristian Torres

    I want to pursue my career as an AI engineer. Can you help me with the links of some renowned institutes who provide its training.

     Reply
    • JanbaskTraining

      Thank you so much for your comment, we appreciate your time. Keep coming back for more such informative insights. Cheers :)

  • D

    Derek Ward

    I am a non-technical person. Can I still pursue AI engineering as a career option?

     Reply
    • JanbaskTraining

      Thank you so much for your comment, we appreciate your time. Keep coming back for more such informative insights. Cheers :)

  • H

    Hendrix Howard

    Nice blog! It helped me understand the roles and responsibilities of an AI engineer Thanks team!

     Reply
    • JanbaskTraining

      Hello, JanBask Training offers online training to nurture your skills and make you ready for an amazing career run. Please write to us in detail at [email protected] Thanks!

  • D

    Dante Ramirez

    Looking to grow my career in AI but not getting how to start.

     Reply
    • JanbaskTraining

      Hi, Thank you for reaching out to us with your query. Drop us your email id here and we will get back to you shortly!

  • K

    Kairo Gray

    I want to become a data scientist, can you suggest to me how to proceed, like write now i am going BCA.

     Reply
    • JanbaskTraining

      Hi, Thank you for reaching out to us with your query. Drop us your email id here and we will get back to you shortly!

  • C

    Cruz Peterson

    Can you help with some interview questions for AI engineers?

     Reply
    • JanbaskTraining

      Hello, JanBask Training offers online training to nurture your skills and make you ready for an amazing career run. Please write to us in detail at [email protected] Thanks!

  • E

    Eduardo Bennett

    I am working as a digital marketer. Can I join an AI career?

     Reply
    • JanbaskTraining

      Glad you found this useful! For more such insights on your favourite topics, do check out JanBask Training Blogs and keep learning with us!

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