The core motto of artificial intelligence is to recreate humans through machines. For almost seven decades now, AI researchers and scientists have been trying to make artificial intelligence models think like humans. Although the goal is not completely achieved yet, humans have come a long way and AI has paved the way for automation across many industries. Owing to the increasing use of technology, AI careers have also gained traction. According to a report, AI careers have been growing at the rate of 74% annually. Despite the increasing opportunities, companies only look for skilled professionals who can use artificial intelligence to their best. Some companies are also opening their door for Artificial intelligence internships to shape the future of young and learning candidates. In order to land an AI internship, you have to stay updated on the latest developments in technology. In this article, Analytics Insight has listed the top artificial intelligence internships that aspirants should apply for in January 2022.
Location: Work From Home
Duration: 6 Months
Roles and Responsibilities: As a researcher of AI and ML in Blackcoffer, the candidate will be working on research projects and drafts. He/she will be engaging with artificial intelligence, machine learning, and predictive modeling using Python & R. They will be working on abstract literature reviews, problem description, introduction, analysis, and result, along with references. The candidate will also engage with drafts such as research papers, journal papers with section abstracts, literature reviews, problem descriptions, etc.
Qualifications:
Apply here for the internship.
Duration: 1 Month
Roles and Responsibilities: The candidate should evaluate various platforms for bot making and selecting the most appropriate one. He/she should create sample bots based on the use case provided. They should be looking at AI use cases in the business and implementing the same along with the tech team.
Apply here for the internship.
Location: Rudrapur
Duration: 6 Months
Roles and Responsibilities: As a computer vision (AI-based) at Alphabet, the candidate will work on applying the latest research in deep learning and neural network techniques to interfere with cameras for video analytics applications. He/she should work on collaborating with teams to understand the requirements and implement them in the product. They should work on conducting design and coding reviews. The candidates should work on analyzing and improving the efficiency, scalability, and stability of various AI and ML models. They should work on bridging the gap between the latest things in deep learning research and its application in real-world products.
Apply here for the internship.
Location: Mumbai
Duration: 3 Months
Roles and Responsibilities: Qure.ai has segregated the AI scientist intern's day-to-day responsibility clearly. The candidate should train algorithms to interpret and analyze medical images and other healthcare data using Qure.ai petabyte-scale datasets. He/she should optimize deep learning models for deployment across platforms like cloud, on-premise, and IoT. They should apply scientific rigor to create analytics and clinical evidence of the performance of existing and new algorithms. The candidate should create and execute novel synthetic and non-synthetic data acquisition protocols to solve problems in healthcare with AI.
Apply here for the internship.
Location: Thiruvananthapuram
Duration: 4 Months
Roles and Responsibilities: As an artificial intelligence intern, the candidate is expected to look at AI use cases in the business and implement the same with the security team. He/she should create sample models based on the use case provided. Their responsibility also includes improving existing ML layers and models.
Apply here for the internship.
Roles and Responsibilities: The artificial intelligence and machine learning intern is expected to work on WebRTC and TURN & STUN server open source systems at scale. He/she should work to train and develop algorithms for the visual recommendation engine. They should also work on Python, TensorFlow, and related AI/ML coding for the same.
Apply here for the internship.
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