Machine Learning Intern | Techolution | Hyderabad

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Job description:

Techolution is conducting an internship at their Hyderabad office.

Job duties:

  • Design, build and learn machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Keep abreast of developments in the field

Job requirements:

  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Experience with Computer Vision and Image Processing
  • Experience with facial recognition related projects
  • Familiarity with machine learning frameworks (like Keras or Tensorflow) and libraries (like scikit-learn)
  • Good project lineup in Machine Learning Domain
  • Outstanding analytical and problem-solving skills

Qualification & experience:

  • BE, degree in Computer Science, or a related subject
  • 0-2 years of experience

About Techolution:

Techolution is committed to providing equal employment opportunities for all applicants and employees, as well as a safe and inclusive work environment. This is going to be a Full-Time role with an extraordinary employment approach to developing an interest and sort out hackathons. You will likewise get the chance to “play” with the center advances Techolution specializes in Cloud Transformation, UI Modernization, Virtual Reality (VR) UI, Facial Recognition, Internet of Things (IoT), Block Chain &AI(Ml & Deep Learning).

If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.

Job/Req. ID: 12955

Company: Techolution

Location: Hyderabad, Telangana

Job Type: Internship

Job category: Software/IT Engineering

Date of Publish: 19 May 2020