Machine Learning Intern

Requiremennts

The candidate should have fundamental knowledge on Machine learning algorithms and deep learning frameworks. The candidate should be proficient in python with hands-on experience on libraries like pandas, numpy, scikit learn, tensorflow-keras and pytorch. The candidate should also have basic knowledge in Digital Signal Processing (DSP). It is desirable to have knowledge on AWS services like kinsesis, EC2, lambda. Knowledge about databases and backend frameworks like flask can enhance your chances.

Must have:

Hands-on knowledge with Python libraries: pandas, numpy, scikit learn, tensorflow-keras and pytorch

Eligibility:

Bachelors or Masters in Engineering or any degree with hands-on experience in signal processing and machine learning. The eligibility criterion can be relaxed for candidates without degree, if found sufficient experience and knowledge.

Knowledge in Signal Processing

• Experience

  0 - 1 Years

• No. of Openings

  1

• Education

  Graduate (B.Tech/B.E)

• Role

  Machine Learning Intern

• Industry Type

  IT-Hardware & Networking

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office