Companies Offering Internship for ML, AI and Data Science Freshers with a Good Stipend

By ridhigrg |Email | May 7, 2019 | 3828 Views

Internships are a great way to kickstart an individuals career. With the right opportunity at the right time, it becomes the starting point of one's fruitful career. The internships in data science are meant for those who love playing with large datasets and extracting meaningful information and knowledge from them. So this article will give you a way to easily find internships related to your field. 

Data Science INTERNSHIP at PayZello
Team: AI 
Role: Intern 
Location: Hyderabad, Telangana, India 
At Payzello, the student will be working on using cutting-edge Machine learning techniques to solve real-world problems in the financial technology domain. Projects include, 
  • Building Chatbot development 
  • Credit scoring 
  • Automated saving Goals 
  • Expense manager building 
  • Recommendation engine 
  • OCR solution 
  • Customer analytics 
The intern will be working end to end on every aspect of the Machine Learning solution, right from problem understanding and modeling to optimizing for accuracy and performance.

Machine Learning (Nanoscience & Technology) at the Indian Institute Of Science (IISc) Bangalore
Location(s): Bangalore
Role: Intern 
Selected interns day-to-day responsibilities include:
1. Generation of data for training
2. Development of an algorithm for supervised learning
3. Development of an algorithm for unsupervised learning

Deep Learning at Flux
Deep Learning Internship at Flux in Bangalore
Location(s): Bangalore
Role: Intern 
We are developing modular self-driving technology for new and existing commercial vehicles. Our goal is to take self-driving technology to the masses with affordable hardware and robust software built by a world-class team.

Trainee | Operation at KPMG
Location(s): Bangaluru
Role: Intern 
Roles and Responsibilities
  • Various Data management tasks Hourly/Daily
  • Handling incidents for in-house created tools using MS office 2013/2007
  • Data extraction using SharePoint 2013
  • Editing existing SQL queries and VBA coding
  • Experience on working with SharePoint 2013 OutOfTheBox OOTB features

Operations: Risk Management at American Express
Role: Intern 
Locations: Bangalore
  • Available for full time 6 months (in-office) internship from academic programs  in top institutes
  • Experience of solving practical problems by developing novel techniques pertaining to above areas.
  • Strong programming and coding experience in languages such as R, Python, C, C++, Java; experience on deep learning platforms such as Tensorflow, PyTorch, etc. is desirable
  • Prior demonstrated experience of conducting scientific research such as papers in reputed conferences and journals will be given preference.

Machine Learning / AI Internship at DELL
Location: Bratislava, Slovakia  
Role: Intern 
You will have the opportunity to demonstrate and develop your analytical and technical skills with challenging projects and learn from our experienced data scientists and big data engineers. Expect to expand your skills in Python / R, the Hadoop ecosystem including Spark (PySpark / sparkly R) & Hive, relational databases, and applying machine learning techniques to large datasets.
We offer you a fastpaced work environment in a diverse team with exposure to Dell teams across the globe enabling you to advance your communication skills in English. You will be part of a dynamic, collaborative and cross-functional team focused on making significant business impacts. We will encourage you to have a major influence on our solutions.

AI/Computer Vision at DeepPulse Labs
Location(s): Work From Home
DeepPulse works in the area of AI especially in the area of computer vision. We are currently working primarily for the travel and real estate domain.
About the work from home job/internship:
Selected interns day-to-day responsibilities include:
1. Develop an AI model for computer vision use cases
2. Work independently on computer vision use cases
3. Scrape images if needed

Source: HOB