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Artificial Intelligence Engineer Job Description to Ace in 2024
Published
01st Apr, 2024
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You must have witnessed an expansive growth in artificial intelligence and related technologies. Whether it's your Netflix recommendations or Siri’s, AI has been an indispensable part of everyone's daily life, you and me both. Do you also wonder how these systems work and, more importantly, who develops them?
These AI systems are designed and developed by artificial intelligence engineers. To give you a brief idea, AI engineers design, create, and implement complex algorithms to make machines act and work like humans. Well, as an AI engineer, that's what my work looks like. I'm one of the thousands of people behind AI-powered tools and devices. Siri, Alexa, or a humanoid robot like Sophia are all fundamentally based on AI technologies.
Now, that's just a rough overview. If you are planning to venture into artificial intelligence domain, you may be wondering about your exact responsibilities. So, let me help you and give you a detailed insight into an artificial intelligence engineer job description. I will cover all roles and responsibilities, as well as my educational background, including the Artificial Intelligence course or certification requirements of an AI engineer.
Artificial Intelligence Engineer Job Description
Job descriptions aim to introduce you to the company culture, values, roles, and responsibilities when (and if) you get selected. This section will discuss two AI engineer job descriptions you can expect while applying for a role.
Example 1
X [company's name] seeks a proficient AI engineer who understands deep learning, neuro-linguistic programming, computer vision, and other AI technologies. The AI engineer will be a part of a multidisciplinary team and work on our AI strategy.
Typical roles and responsibilities include the following:
- Ability to create and evaluate AI models using neural networks, ML algorithms, deep learning, etc.
- Help with direct processing and R&D to meet the project's requirements.
- Ability to contribute toward developing advanced code modules for SaaS products and ensure their integration with the business solution.
- Helped create various APIs, respond to payload requests, etc.
- Handling databases, both SQL and NoSQL.
- Working on cloud infrastructure like AWS and other data platforms like Databricks and Snowflake.
Example 2
Our team is hiring an AI engineer to help us with core backend development and build cloud-native AI solutions. The ideal candidate must have a proven track record of creating and implementing AI solutions in real-world use cases.
Core roles and responsibilities:
- I work with programming languages like Python, C++, Java, LISP, etc., to optimize backend applications.
- DevOps: implementing testing strategies, building CI/CD pipelines, and working on IoC (infrastructure as code).
- Working with cloud technologies: deploying solutions on platforms like AWS and Azure and ensuring scalability and security.
- Understanding existing AI solutions and system design to help solve more real-world problems.
- Working with LLMs and integrating them with more solutions.
Job Summary of an Artificial Intelligence Engineer
The job description of an AI engineer primarily revolves around developing cutting-edge AI tools and solutions that utilize deep learning, machine learning, NLP, computer vision, and other related technologies. Working closely with other people like data scientists, software engineers, and domain experts, you will design, implement, and optimize algorithms to fit business requirements.
Education and Work Experience Needed for AI Engineer
A job description for an AI engineer specifies the following educational requirements and work experience.
A. Educational Requirements
- A Bachelor's and/or Master's degree in a related field such as computer science, advanced mathematics, statistics, artificial intelligence, data science, etc.
- Proficiency in programming languages, including Python, Java, C++, LISP, Scala, etc.
- Knowledge of DSA, processing tools, etc.
- Additional certifications and diplomas.
B. Skills
- Programming language proficiency: Must be proficient in languages like Java, C++, Python, LISP, etc.
- Data modeling and engineering: AI engineers must clearly understand data structures, modeling, and engineering techniques.
- Databases and tools: AI engineers must be adept at working with different forms of data and know how to handle SQL and NoSQL databases. Knowledge of data tools and platforms like Apache Spark, AWS S3, and Hadoop is also essential.
- Machine learning models: A typical job description for an AI developer necessitates you to be familiar with ML and DL models like CNNs and RNNs.
The abovementioned skills are the core technical skills that an AI engineer must possess. Besides, it helps employers to know your mettle, especially if you have soft skills like time management, clear communication, etc.
Work Experience
To become an AI engineer, you must have experience working with data in processing, science, or management. In addition, you must also have proven experience in programming and software development. Working on extra projects or enrolling in some AI Engineer Bootcamp can add more value. Adding project work is an excellent way to showcase your practical skills, especially if you are a beginner or entry-level AI engineer (< 0-1 years of experience).
Responsibilities and Duties an Artificial Intelligence Engineer Must Hold
An AI specialist job description includes the following responsibilities:
- Algorithm development: You must design and implement ML and DL algorithms and make them specific to the business problem.
- Model Training and Evaluation: As an AI engineer, you must be familiar with model training techniques using DNNs, linear regression, logistic regression, etc. You will also need to fine-tune existing AI models for better results.
- Data processing: AI engineers must be adept at working with databases (SQL and NoSQL) and diverse data types, like JSON files, TIFF, BMP, etc.
- Collaboration: You will closely work with cross-functional teams and help everyone understand the technical solutions.
- Model deployment: You will also implement and deploy AI models in multiple production environments, ensuring peak performance and scalability.
Artificial Intelligence Engineer Job Description Templates
Below are two commonly used artificial intelligence engineer job description templates.
Template 1: Download the Artificial Intelligence Engineer Job Description here!
Template 2: Download the AI Engineer Job Description here!
Salary Range of Artificial Intelligence Engineer
With such high-value AI engineer job requirements, they are handsomely paid, making AI engineering a very lucrative career option. The median salary of an AI engineer in the USA is around $154,892 (Source: Glassdoor) annually.
For someone just starting off as an AI engineer, it is around $105,000 annually. With proper skills and some experience (3-4 years), AI engineers can expect to make (Source: Glassdoor) $194,000 annually.
Conclusion
AI is a vast and developing field, making AI engineering a widespread and potentially vital career option. People with relevant technical backgrounds interested in artificial intelligence and machine learning now have several AI-related jobs to explore. These professionals are highly demanded in financial service companies, healthcare companies, banks, large-scale manufacturers, and other verticals. There's a lot of scope and potential to discover.
However, to become an AI engineer, you need relevant education and work experience in data science, statistics, machine learning, etc. Having some additional hands-on training also helps you propel your career in AI. If you want to build an AI career, you can start with the KnowledgeHut artificial intelligence course. This comprehensive course will give you a bird's-eye view of how AI systems are developed and how they work.
Frequently Asked Questions
1. What educational background is required for an AI engineer?
You must have a Bachelor's degree in a relevant field like computer science, statistics, mathematics, engineering, etc. A postgraduate degree in a related discipline and additional certifications/training add advantage to your qualifications.
2. What are the growth opportunities for an AI engineer?
AI engineers have numerous options to explore. They can get into research and become an AI researcher, develop new algorithms, publish papers, and read more about AI systems. If they have a knack of crunching numbers, they can pursue big data engineering, a highly-demanded.
3. What is the demand for AI engineers?
AI will continue dominating several sectors and industries in the coming years. As a result, there will be more opportunities for AI engineers in various industries, such as sales and marketing, healthcare, content creation, cybersecurity, autonomous vehicles, etc. More companies will prioritize AI adoption, including MSMEs.
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