
Apziva
Machine Learning Resident Jobs In Ajman | Apziva
About the job
1. Diverse industry projects: Gain hands-on experience by working on various real-world projects from different industries.
2. Mentorship: Receive personalized guidance and support from an industry expert mentor.
3. Resume and Portfolio Enhancement: Strengthen your resume and portfolio with the help of Hiring Managers from top companies.
4. Mock Interview Practice: Improve your interview skills through practice sessions with experienced professionals.
5. Networking Opportunities: Expand your professional network by connecting with talented individuals from leading companies.
6. Job Placement Support: Get assistance in developing a job search strategy, excelling in interviews, and securing your dream job.
7. Remote and Flexible: Enjoy the flexibility of remote work, allowing you to progress at your own pace from home.
Admission Process:
1. Application: Explain why you are the ideal candidate for this opportunity.
2. Skills Review Survey: Complete a 20-minute assessment on Machine Learning and Python proficiency.
3. Initial Interview: Have a discussion with our Director of AI to discuss your goals and skills.
4. Joining the Program: Gain practical industry experience and work with an expert mentor on a weekly basis to prepare for your first Machine Learning job.
Qualifications:
The ideal candidate should have a strong passion for using AI to solve real-world challenges. They should have a basic understanding of Machine Learning concepts and Python programming skills. Fluency in written and spoken English is required, along with a commitment to continuous learning and self-improvement. This program is designed for professionals looking to enter the field of Data Science or Machine Learning Engineering and gain practical industry experience.
Apziva does not discriminate based on geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, disability, veteran status, or any other protected characteristic. Employment decisions are made based on qualifications, merit, and business need.
To apply for this job please visit www.linkedin.com.
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