Machine Learning Career Accelerator

Description:

Key Information

• Location: Fully remote
• Average salary: $68K+ upon completion
• Work authorization valid for at least 2 years from your program completion date

Program Overview

Apziva’s mission is to solve the world’s experience gap and unlock human potential. Apziva AI Residency is a placement-guaranteed program that will accelerate your career in Data Science and Machine Learning within 6 months. You’ll be solving real-world problems and working on a full-cycle machine learning pipeline on challenging projects under the mentorship of industry experts.

You’ll procure skills and knowledge on:

• Python
• Scikit-learn
• Pandas
• Numpy
• Jupyter
• PyTorch
• Tensorflow
• Matplotlib
• Docker
• AWS

You’ll have extensive experience on:

• Probability And Statistics
• Natural Language Processing
• Computer Vision
• Speech and Signal Processing
• Time Series
• Recommendation Systems
• Deep Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

During the program, you will have unlimited career support and will be guided to get placed at top companies while closely working with a hiring manager to strengthen your portfolio and create a job search strategy. Also, you will get prepared for the upcoming interviews with Principal Data Scientists and Senior Machine Learning Engineers.

Upon successful completion of the Apziva Residency program, you’ll receive a personalized letter of recommendation which you can attach to your job applications.

We’re looking for:

• A passion for learning and self-improvement
• Having strong analytical and problem-solving skills
• Basic understanding of Machine Learning concepts, and entry-level Python programming skills.
• Fluency in written and spoken English.

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.