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A COMPLETE AI AND ML ENGINEER CAREER GUIDE 2023: ROLES, RESPONSIBILITIES, AND SALARIES

“AI career outlook is excellent with a 13% jump in computer-related occupations projected till 2026”
Excerpts ZipRecruiter.com
The evolution over the decades has led to a technological landscape that allows for every task to be automated. Artificial Intelligence is the threshold technology pivot of every fast-growing economy today. With challenges come exciting opportunities that unravel the many possibilities of the AI future.
As a qualified AI engineer, you are set for a career trajectory that is as rewarding as AI itself. Becoming a
Certified AI Engineer
⁠
calls for some detailed research and backing your portfolio with interesting in-demand skillsets. Although, it is always easier said than done. But, when diving into the future of today, it is imperative for you as an AI professional to arm yourself with qualitative additions in skills and certifications. Basic educational credentials need a power boost with some incredibly targeted AI Engineer Certifications that allow you a career expanse like none other.
Why become an AI ML Engineer?
AI Engineers are in high demand and have seemingly endless potential to improve and simplify tasks commonly attended by humans; inclusive of speech recognition, image processing, business process management, severe disease diagnosis, and much more. Being a high-paying career role, industries are using AI and machine learning predominantly for making processes intelligent.
AI Engineer Vs ML Engineer:
Artificial intelligence engineers are responsible for developing, programming, and training complex networks of algorithms that design an AI. They use AI Models to simulate human thinking and manage complex processes. They are capable of processing large sets of data and running and maintaining AI systems.
Whereas, as a machine learning engineer, you will be involved in building systems that are capable of learning from big data and using this knowledge to make predictions. They develop large algorithms and optimize the learning process by collecting, organizing, and analyzing data and performing tests on AI systems.
AI engineers build systems and ML engineers improve functionality with each repetition. AI engineers produce standalone systems that incorporate ML, a subset of Artificial intelligence.
Roles and responsibilities:
Understanding the roles and responsibilities these AI profiles come packed with includes:
· Coordinating with professionals on other teams as well
· Designing and managing AI development process and overall infrastructure
· Automating functions and processes for a data science team
· Monitoring projects
· Building AI Models
· Executing problem-solving initiatives using ML concepts
· Analyzing AI systems used in project development
· Developing infrastructure for data transformation
· Transforming ML models into APIs
· Elaborating the usefulness of AI models to stakeholders and product managers
Salaries around the world:
AI ML Experts backed with the best AI ML certifications are a great choice for recruiters from giant collaborations. The national average pay-out for a certified AI Engineer sits at USD 120,119 in the USA; whereas for an ML Engineer’s role, you would be offered a salary of USD 150,844 annually.
AI ML Engineer Circuit 2023:
Step 1- Basic Educational Credentials
Earn your bachelor’s or master’s in STEM subject with a major in Engineering would be a great place, to begin with. This is sure to set your career in AI ML Engineering on a higher pedestal.
Step 2- Role requisites
o Algorithms
o Cloud-knowledge
o Neural Network Knowledge
o Problem-solving
o Communication
o Leadership
o Programming
o Mathematical expertise
o Analytical skills
o Business Intelligence
o Collaboration
o Critical thinking
Step 3- Enroll in Certifications
Choose from the best offerings when it comes to picking the widely trusted
Artificial intelligence Engineer certifications
⁠
. These come packed with shareable digital badges and skillsets comprising in-demand tools and tactics to make the most of the next job opportunity. These are a clear indication of your competence in handling tricky and sticky business situations with prime skills and tools in your AI ML armor.
Step 4: Apply for the job
Brimming your portfolio with the right credentials and certifications is a hot pick for recruiters. No doubt, you would not let the opportunity go away.
Final word:
No doubt, both roles offer a career trajectory that is promising and flourishing in all respects. It completely sets the bar for you, which area of technology your core skill and heart lie. After all, all work that is done with heart in it is a success story indeed. Begin with the most suited AI ML role for a lasting career ahead!
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