Apziva's mission is to solve the world's experience gap and unlock human potential by helping talented professionals gain hands-on practical industry experience in Machine Learning and Data Science through real-world industry projects. They also help companies solve challenging Machine Learning problems and hire the best Data Science candidates with proven work experience.
Requirements
- Knowledge of Python, SQL, pandas, matplotlib, Scikit-Learn.
- Strong understanding of statistical concepts and machine learning algorithms.
- Deep Learning
- Computer Vision
- Natural Language Processing
- Time Series Analysis
- Recommender Systems
Responsibilities
- Dive deep into several industry projects, collaborating with a team of professionals and working on challenging projects coming from Apziva’s industry partners across different industries including Finance, Logistics, Education, Hardware, Retail, and Human Resources.
- Work on industry projects, get mentored by industry experts, sharpen your skills, and make meaningful contributions to solve real-world challenges our partners face.
- Gain insights into diverse industries and work on challenging problems spanning Deep Learning, Computer Vision, Natural Language Processing, Time Series Analysis, and Recommender Systems.
- Collaborate with a team of experts and mentors to drive innovation and deliver impactful solutions.
- Build reliable machine learning solutions to solve different challenges that our partners face.
Other
- BA or BS degree, or equivalent experience in Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering, or related fields.
- Exceptional problem-solving skills and keen attention to detail.
- Excellent communication and interpersonal abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- 6-month Residency
