Machine Learning Engineer Intern
vor 2 Monaten
Equifax is where you can power your possible.
If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries make critical decisions with greater confidence.
About the Role: We are seeking a highly motivated Engineering Student with a strong interest in AI and machine learning to join our team as a Machine Learning Engineer - Intern.
This internship will provide you with hands-on experience in applying your engineering skills to solve real-world problems in the dynamic field of AI.
What you'll do: Collaborate with our team to design and develop an AI Ops platform for automated issue detection and resolution in production systems.Apply machine learning algorithms to analyze system data and identify patterns indicative of potential issues.Develop predictive models to forecast potential system failures and recommend preventive measures.Contribute to the design and implementation of automated solutions for resolving common IT issues.Participate in the testing and evaluation of the AI Ops platform to ensure its effectiveness and reliability.What you'll need: Good understanding of AI and machine learning concepts.Proficiency in programming languages such as Python or Java.Excellent problem-solving and analytical skills.Ability to work effectively in a team environment.We Offer: A challenging and rewarding internship experience.The opportunity to work on a project with real-world impact.A supportive and collaborative team environment.Flexible working arrangements to accommodate your academic schedule.If you are an Engineering student with a passion for AI and a desire to make a real impact, we encourage you to apply Equifax is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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