Equinix Internship: Data Science Intern | Apply Now!

Equinix is hiring for Data Science Intern. For full details and apply link, follow below.

Equinix Data Science Internship

  • Position: Data Science Intern
  • Location: Bangalore, India
  • Qualification: B.Tech, M.Tech
  • Batch: 2024
  • Experience: Fresher
  • Salary: Min ₹ 20K Per Month (Expected)
  • Last Date: As soon as Possible

Role Overview:

Have you seen a film online? got to know an email? Employed a cloud? It’s likely that you have previously utilised Equinix data centres in one way or another.
The information-driven world thrives on International Business ExchangeTM, which is operated by Equinix. Many of the top brands in the world are using Equinix Data Centres as a platform to introduce their newest, ground-breaking inventions.

You will be in charge of developing and optimising our AI/ML systems in your role as a full stack data scientist intern. You will be assessing current machine learning (ML) procedures, boosting the precision of our AI software’s capabilities, and carrying out statistical analysis to address data set issues.

Eligibility Criteria:

  • B.Tech/M.Tech students hoping to graduate in 2024 (June/July)
  • Expertise in computer science, machine learning, or similar fields; ideally from Tier 1/Tier 2 Indian institutes
  • Must be available for a required six-month internship at our Bangalore office starting on January 24 and ending on June 24 (hybrid working)
  • Python coding (required)
  • Outstanding knowledge of design patterns and software engineering principles
  • Exposure to either Azure or GCP as a cloud platform
  • Knowledgeable about any deep learning framework, including Keras, TensorFlow, or PyTorch
  • Capability to convey the analysis’s findings
  • Exceptionally strong communication, organising, and time management abilities.


  • Investigate and use the proper AI tools and algorithms.
  • Concept, develop, and deliver production-level computer vision (image classification, object detection, semantic segmentation, and instance segmentation using Yolo V7, DDRNet, RFTM using pre-trained datasets (Coco, Cityscapes), NLP (generative AI-including Q&A, Chatbot, FAQ Generation, Sentiment, Summarization, Info Retrieval), and classical machine learning (regression, classification, and clustering) models.
  • Use cutting edge deployment techniques to put ML models into production, and run A/B testing to quantify improvements objectively.
  • Continue to innovate and improve the machine learning pipeline, starting with data discovery and moving through model experimentation and prototyping to production.
  • Utilise state-of-the-art tools and technologies in big data and machine learning to construct a cloud-based machine learning platform (ML operations)
  • Developing Tests, Executing Statistical Analysis, and Analysing Test Outcomes.
  • Create a model pipeline in a development environment, leverage GitHub activities, check in to Git, containerize the application, and then launch it on a virtual machine, App Engine, or K8 Cluster.

About Company:

Equinix is a global provider of digital infrastructure, running more than 240 data centres and offering connectivity to all major clouds and networks. We give over 10,000 clients in nearly every sector access to over 2,000 network services, over 3,000 cloud and IT services, over 450 digital media and content services, and over 4,700 businesses.

Working as an intern at Equinix entails working on projects that have a global impact and being surrounded by countless opportunities to develop new abilities and go in different directions. Join us and contribute to shaping the digital world if you’re a forward-thinking, diligent college student who enjoys learning and wants to progress professionally while having a beneficial impact on the world.

How To Apply?

  • First, read through all of the job details on this page.
  • Scroll down and press the Click Here button.
  • 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.

Apply Link: Click Here

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