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Machine Learning Internship | Work From Home

1 Mins read

Machine Learning Internship


  • Position: Machine Learning Intern
  • Location: Work From Home
  • Qualification: Any Bachelors/ Masters Degree
  • Batch: Any
  • Experience: 0 – 1 Years
  • Salary: Min 70K Per Month
  • Last Date: As soon as Possible

Eligibility Criteria:

  • Willingness to evolve into full time ML-Engg/ML-Scientist at Enterpret
  • Wide experience with Python and NLP (transformers)
  • Strong programming abilities, especially Python Scientific Stack (Numpy, Pandas, Scikit-Learn)
  • Solid foundations in Linear Algebra, Optimization & Data Structures
  • Exposure to Machine Learning – preferably, Deep Learning with Pytorch/Tensorflow.
  • Relentless passion to learn, own & deliver customer delight.

Responsibilities:

This will be a 6 month full-time internship.

  • Work closely with the team leads, to develop state-of-the-art NLP pipeline. This includes everything from data gathering to inference.
  • Build & test deep learning models in the areas of few shot learning, text generation, semantic search, ABSA
  • Create deployment pipelines for real-time as well as batch inference for deep learning models.
  • Own end to end Quality Metrics for the various AI models: from learning to inference to rendering.

Benefits and Perks:

  • Autonomy and Ownership
  • Smart, Humble and Friendly peers
  • Competitive remuneration package
  • Generous vacation
  • Learning & Development resources

About Company:

We are building analytics on natural language to help product development teams learn from large-scale customer feedback. Since our inception in 2020, we have been backed by top-tier VC firms from Silicon Valley and India. Today, we are proud to partner with some of the fastest scaling Product Led Growth companies. We are growing really fast and excited about having more people join us on this journey.

How To Apply?

  • First, read through all of the details on this page.
  • Scroll down and press the Apply Now text.
  • To be redirected to the official website, click on the apply link.
  • Fill the details with the information provided.
  • Before submitting the application, cross-check the information you’ve provided.

TO PROCEED, CLCIK APPLY NOW







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