Data Resident Jobs

-Gain hands-on experience on diverse real-world projects across different industries to build your practical skills.

-Benefit from personalized guidance and support from industry experts who will mentor you throughout the program.

-Strengthen your resume and portfolio with the assistance of Hiring Managers from top companies.

-Enhance your interview skills through mock interview sessions conducted by experienced professionals.

-Expand your professional network by connecting with talented individuals from leading companies in the industry.

-Receive comprehensive job placement support, including help in developing a job search strategy, excelling in interviews, and securing your dream job.

-Enjoy the flexibility of remote work, allowing you to progress at your own pace from the comfort of your home.

Admission Process:

• Joining the Program: Immerse yourself in practical industry experience and work closely with an expert mentor to prepare for your first Machine Learning job.
• Application: Demonstrate why you are the perfect fit for this opportunity.
• Initial Interview: Engage in a discussion with our Director of AI to talk about your goals and skills.
• Skills Review Survey: Complete a 20-minute assessment evaluating your proficiency in Machine Learning and Python.

Qualifications:

The ideal candidate should possess a strong passion for leveraging AI to tackle real-world challenges. They should have a basic understanding of Machine Learning concepts and proficiency in Python programming. Fluency in both written and spoken English is required, along with a commitment to continuous learning and self-improvement. This program caters to professionals seeking to enter the fields of Data Science or Machine Learning Engineering and gain valuable 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.