Top Machine Learning Internships to Apply For in January 2022

Machine learning

Machine learning is a growing career domain among several tech and non-tech aspirants

The limitless quantity of data available nowadays and affordable data storage facilities have enabled the growth of machine learning technology. Nowadays several industries are developing robust and advanced models for analyzing larger and more complex datasets. The integration of machine learning tools will enable businesses to gain insights into more profitable opportunities and potential risks. The application of this technology has enhanced business results dramatically and has enabled the rapid evolution of ML tools. Not only has machine learning left its mark in the development and growth of businesses, but it has also turned into one of the most lucrative career opportunities for non-tech students and tech aspirants. To gain more insights into the domain, students are looking for machine learning internships. The top machine learning internships will provide the best training and knowledge in the field. In this article, we have listed the best ML internships available in January 2022. 


1. Intern- Machine Learning Engineer

Offered by: SolarWinds

Location: Bengaluru, India


  • Build distributed, real-time, high-volume data, and ML pipelines, and also work together with others to enable high-scale ML applications
  • Work with ML frameworks, feature stores, and data pipelines
  • Join a high-performance team solving hard problems the right way and focus on customer value


Skills and Qualifications

  • Should possess solid foundations in data science and machine learning in multiple domains), both statistical and deep learning with time series analysis and NLP
  • Should have the ability to execute on a plan and act with urgency
  • Agile with a collaborative, curious, and inventive mindset
  • Demonstrates high emotional intelligence, sound judgment, and makes thoughtful recommendations
  • Understands customer focus and customer-centric solutions.


2. Machine Learning Internship

Offered by: SkillBit

Location: Pune


  • Analyzing data, developing predictive algorithms, designing, and recommending code algorithms using advanced machine learning algorithms
  • Designing, developing, and testing sales recommendation solutions
  • Performing exploratory data analysis
  • Preparing and analyzing data and identifying patterns


Skills and Qualifications


3. Machine Learning and Data Science Internship

Offered by: Machine Learning India

Location: Hyderabad, India


  • Summarizing the content that their website provides on machine learning in a well-standardized way in different fields
  • Learning, developing new models in artificial neural networks, convolutional neural networks, and blockchain technology involved platforms
  • Working with the team to manage and optimize the models that are built
  • Building dashboards and PowerBI analytics
  • Working on AWS and other related services
  • Working on the deployment of models in the server


Skills and Qualifications

The interested candidates should possess a stronghold in technologies like Amazon Web Server (AWS), Amazon Web Services (AWS), artificial intelligence (AI), data analytics, data science, machine learning, NLP, Python, and others. 


4. Subject Matter Expert Internship- AI/Machine Learning

Offered by: TutorBin

Location: Work from Home 


  • The selected candidate will be responsible for solving questions for the students across the globe using the TutorBin Board
  • Review the work completed by the tutor on the platform
  • Providing necessary details and instructions for rectification as required


Skills and Qualifications

  • The candidate should be skilled in artificial intelligence and machine learning
  • Must have a proper understanding of different tools related to machine learning and AI
  • Must have a problem-solving attitude with good command in logical reasoning skills
  • Must be a student of B.Tech(4th year) or pursuing M. Tech


5. Deep Learning Internship

Offered by: Swabhav Techlabs

Location: Mumbai, India


  • Understanding the meaning of AI, machine learning, and deep learning
  • Understanding deep learning fundamentals (TensorFlow, Keras framework, and PyTorch framework)
  • Understanding deep learning model development
  • Creating a custom object-detection model using a deep learning model of one’s own choice
  • Optimizing the performance of a pre-trained DL model through a multi-layer approach
  • Can create mask detection models using deep learning from the scratch
  • Build end-to-end applications using DL, SQL, and Flask to solve real-life challenges


6. AI/ML Intern

Offered by: Verisk

Location: Hyderabad, India


  • Is responsible for AI/ML research and development. The candidate has to work on various phases of AI/ML projects, such as requirements engineering and mathematical modeling, solution and algorithm development, implementation and testing, and performance evaluation and hardening
  • Has to work in internal, cross-functional, and collaborative teams to build technologies, products, and services and deliver high-quality artifacts involving data analytics in a timely fashion
  • Will be responsible for sharing details of the ongoing work and results via regular presentations, helping with the creation of POCs and live demonstrations of the same to peers, management, clients as well as to the AI/ML research community
  • Contribute to technical reports and drafts for research publications, invention disclosures, and patent applications
  • Actively work on improving theoretical and applied understanding in relevant areas of AI/ ML, problem domains, state-of-the-art tools, and innovation skills


Skills and Qualifications

  • Currently enrolled in a B.S, M.S, or Ph.D. program in computer science, electrical engineering, mathematics, AI, or a related discipline
  • Expertise and hands-on experience in AI, ML, CV, NLP, or other related areas; publications in relevant top-tier conferences or journals is also highly desirable
  • Proficiency in relevant programming languages, like Python, and relevant tools and libraries, such as Tensorflow, PyTorch
  • Excellent communication, problem-solving, and analytical skills, and should also have the ability to learn quickly
  • Passion for applied research and for answering hard questions with data

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