How to Become a Lead AI Engineer
Step 1: Understand the job description and responsibilities of a Lead AI Engineer
What does a Lead AI Engineer do?
A Lead AI Engineer designs and develops scalable solutions using AI tools and machine-learning models. Ensures the scalability, reliability, and performance of AI systems. Being an Lead AI Engineer develops and executes performance tests on AI systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance. Performs research and testing to develop machine learning algorithms and predictive models. Additionally, Lead AI Engineer utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient in big data tools, cloud platforms, multiple AI tools such as Python, Java, or R, and machine learning frameworks like Spark, TensorFlow, or scikit-learn. Requires a bachelor's degree in computer science or related degree. Typically reports to a manager. The Lead AI Engineer works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. To be an Lead AI Engineer typically requires 10+ years of related experience.
This is a discussion on Introducing our lead AI Engineer with an AI feedback thread! within the EA Sports UFC forums.
Review prototypes and algorithms written by other engineers.
Lead a team of engineers to build products and deliver solutions, depending on previous architecture and technical leadership experience.
Experience doing tasks of a Full Stack Engineer and/or Big Data engineer/Machine Learning Engineer and/or DevOps system administrator.
Softomotive is recruiting a Lead AI Engineer, to be based in Athens, Greece.
Step 2: Learn best tips to become a Lead AI Engineer
Best tips for those who want to become a Lead AI Engineer
Here are some tips to become a Lead AI Engineer.
Step 3: View best colleges and universities for Lead AI Engineer
Best colleges and universities for Lead AI Engineer
- Butler University
- Carroll College
- Cooper Union
- High Point University
- Princeton University
- Providence College
Step 4: Think about whether is it worth to be a Lead AI Engineer
Is being a Lead AI Engineer Worth it?
AI Engineers work closely with Scientists to create valuable retail insights through state-of-the-art mathematical models powered by cutting edge AI technologies.
As a Lead AI Engineer in Pricing, you will be expected to create software solutions to optimize price-based retail decisioning like Clearance.
Develop AI related software systems using test driven development employing continuous integration practices.
You will work directly on the AI problems that have the most impact on Target's entire supply chain, forecasting and merchandising.
Drive our AI and computer vision technology strategy and roadmap across the products.
Step 5: Prepare relevant skills for being a Lead AI Engineer
What skills do you need to be a Lead AI Engineer?
In order to succeed at this level, when working with both management positions and positions more junior, a variety of skills are required. A strong grasp of the following skills is needed to perform this role: AI -Artificial Intelligence, Analysis of Algorithms, Data Modeling, Data Science, Machine Learning, Software Engineering. You would need to be proficient in the following: Programming Language. Although there may be many skills for success in this role, some companies may be willing to provide on the job training if you excel in other areas.
Network Support Engineer - Chicago, ILNetwork Support Engineer - Chicago, ILCiscoChicago, ILWe're looking for people who take pride in doing excellent work, and can both teach and learn from those around them.
Ability to gather large amounts of training data and refine existing system performance by implementing AI techniques.
Experience with Azure suite of AI products or similar.
Expertise in designing, building, testing and maintaining production software applications that integrate AI services and include data science models.
Experience of technical ownership for an AI product/software project, including architecture, estimation, product planning and user story/requirement creation.
Step 6: View average salary for Lead AI Engineer
How much does a Lead AI Engineer make?
The average salary range for a Lead AI Engineer is from $173,916 to $210,897. The salary will change depending on your location, job level, experience, education, and skills.
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Average salary for Lead AI Engineer jobs
Step 7: Find relevant Lead AI Engineer jobs, and apply.
Looking for Lead AI Engineer jobs?
Here are some Lead AI Engineer jobs in the United States.