Research and Development
·
Adagrad HQ
Computer Vision Intern
Adagrad is known for developing state-of-the-art Computer Vision based AI solutions. Get a chance to engineer and deploy your algorithms on thousand's of cameras across the globe!
About internship
Selected intern's day-to-day responsibilities include:
- Writing high-performance Python code.
- Trying out state-of-the-art machine learning techniques that are released in the previous week or so and using it to solve our problem.
- Doing a lot of brainstorming on the features our product might have and evaluating them objectively.
- We expect you to work independently. Adagrad runs on trust.
- Being a strong team player. You will be working in a small dynamic team.
- Enthusiastic to work in a start-up environment, and embrace the challenges.
Skills Required:
- Should have knowledge of ML algorithms on a mathematical level
- Should be proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
- Should have expertise in visualizing and manipulating big datasets
- Should have familiarity with Linux
- Should have the ability to select hardware to run an ML model with the required latency
Who can apply:
Only those candidates can apply who:.
- Are available for a duration of minimum 6 months.
- Can come to the office on a daily basis.
Perks:
- Certificate
- Stipend
- Letter of Recommendation
- Department
- Research and Development
- Role
- Computer Vision Intern
- Locations
- Adagrad HQ
About Adagrad AI
At Adagrad, we're leveraging hardware-accelerated algorithms, enhanced Computer Vision & Deep Learning applications to develop and deploy Scalable Solutions. Be it a hypermarket or an industrial setting, we enable enterprises and establishments to harness the optimum potential of academic advancements in AI - applied to real-world situations.
Founded in
2018
Coworkers
50
Research and Development
·
Adagrad HQ
Computer Vision Intern
Adagrad is known for developing state-of-the-art Computer Vision based AI solutions. Get a chance to engineer and deploy your algorithms on thousand's of cameras across the globe!
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