Bagging a prestigious machine learning internship can prove to be a solid launchpad for your career to take off. Many big product companies and brilliant startups provide machine learning summer internship programs and internships from time to time. Although, with the mammoth competition in the IT field, it has become somewhat difficult to get good machine learning internships at the beginning. So, if you’re a student or an early graduate wondering how to land a machine learning internship in India, we are here to share the best steps and advice.
Composition
For students in the midst of their undergraduate studies in computer science, electronics, IoT (Internet of things), data science, artificial intelligence (AI), and machine learning (ML), internships hold the potential to serve as transformative milestones. AI ML internships offer an immersive journey, affording the opportunity to engage in projects directly aligned with these cutting-edge technologies. Internships focusing on AI and ML are commonly extended by companies spanning a wide array of industries, including healthcare, finance, manufacturing, real estate, e-commerce, sales and marketing, and technology.
Benefits
Improved Confidence: After an internship, you’ll find you’ve leveled up your skills. You might be much more comfortable with tools like Git, cloud platforms, or deployment pipelines than before.
Portfolio and Achievements: Don’t forget to take stock of what you produced during your internship. Perhaps you contributed code to the company’s repository, or you have some graphs and results from analyses you did. Obviously, maintain confidentiality and don’t take any proprietary data or code, but you can describe in general terms what you accomplished.
Clarification of Career Goals: You might decide to take more courses in a specialization, pursue a relevant graduate degree, or target your next job search towards a certain niche in AI. Completing an internship essentially helps you “try out” the career in a low-stakes setting, so you can make more informed decisions about where to go next.
Steps to bag an internship
- Research the Industry and Companies Offering Machine Learning Internships
- Develop Relevant Skills and Machine Learning Knowledge
- Build a strong Machine Learning Foundation
- Craft an Impressive Resume and Cover Letter
- Network & Connect With Industry Professionals
- Start Applying for Machine Learning Internships Early
- Prepare for Technical Interviews
When and where to apply?
The months from May to August are bustling with summer internship opportunities in machine learning. So, you have to ensure that your profile is ready and complete before that. To start working during a summer internship, it’s necessary for you to start applying by March-April. The screening process takes a lot of time, especially in big companies. So you want to be ready early on. It’s a fact that large companies receive a huge volume of applications and the open positions get filled quickly enough. So, an early application makes it easier for your resume to get picked and then land an interview subsequently. Tailor the application before applying for each opportunity as per the company, job description, culture, and skills mentioned.
Finding a machine learning internship is pretty easy if you use your resources wisely. Expand your network and knowledge. Understand the company’s requirements and tailor your resume to ensure they see you as the best fit. Keep upskilling
