Machine Learning Resident Jobs

What we offer:

• Land your dream job: Create a job search strategy with a Hiring Manager, find your match, ace the interviews and land your dream job
• Practice Mock Interviews: Practice technical interviews with Principal Data Scientists, Machine Learning Engineers and improve your interview skills.
• Remote and flexible: work remotely which you can do at your own pace from the comfort of your home.
• Strengthen your Resume and Portfolio: Work with a Hiring Manager from industry-leading companies
• Network: Build up your professional network and meet with talented professionals from industry-leading companies.
• Unlimited industry projects: gain hands-on industry project experience and apply your knowledge and skills on solving real problems.
• Mentor-led: collaborate with an industry expert mentor and have 1-on-1 mentoring support.

Admission Process:

• Apply: Tell us why you’re the best candidate for this opportunity
• Join us: Gain hands-on industry experience and work with an industry expert mentor on a weekly basis to get you ready for your first Machine Learning job
• Take the Skills Review Survey: Take a 20-minute Machine Learning and Python assessment.
• Initial Interview: Interview with our Director of AI to talk about your goals and skills

Qualifications:

• Basic understanding of Machine Learning concepts, and Python programming skills
• Professionals who are trying to break into the field as Data Scientist or Machine Learning Engineers and looking for gaining hands-on industry experience.
• Fluency in written and spoken English
• A passion for learning and self-improvement
• The ideal candidate will have a passion to work on real-world challenges by applying artificial intelligence (AI).

Apziva does not discriminate on the basis of geography, race, religion, color, national origin, age, gender, sexual orientation, marital status, non-disqualifying physical or mental disability, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.