If you’re a fresher trying to break into AI, finding the right AI Engineer jobs and internships for freshers can be difficult. You may have Python, machine learning, or even LLM projects on your resume, but the bigger challenge is finding companies that are actually hiring early-career talent.
I regularly recommend that learners don’t wait until they feel completely job-ready. Start applying while you’re building your skills, and use the requirements from real job descriptions to understand what companies expect.
In this article, I’ll share AI Engineer jobs and internships for freshers you can apply to.
AI Engineer Jobs & Internships for Freshers
Here are some AI and ML opportunities across India, the US, and the UK for freshers and early-career candidates.
Jobs & Internships in India
India continues to have opportunities across machine learning, AI engineering, and automation:
- micro1 – ML Engineer
- SKOOLLAGE – ML Intern
- Optum – AI/ML Engineer
- Altera – AI Automation Intern
- Devryxa – ML Intern
Preparing for Your First AI/ML Interview?
Found a role you want to apply for? I’d also make sure you’re ready for the interview. Cracking Your First AI/ML Interview is a resource I’d recommend if you’re preparing for your first AI/ML role.
Jobs & Internships in the US
For candidates who are eligible to work in the US, there are also opportunities spanning AI engineering, machine learning research, and generative AI:
- micro1 – AI/ML Engineer
- Cotiviti – GenAI Research Intern
- Makai Labs – AI Engineer
- Tailored Management – ML Engineer
- OnePay – AI Research Intern
Jobs & Internships in the UK
The UK also has opportunities across machine learning and AI engineering:
- Alignerr – ML Engineer
- Perplexity – ML Engineer Intern
- BigPanda – AI Engineer
- Arondite – AI Engineer
- Experis – ML Engineer
These roles cover a mix of engineering and machine learning work, so don’t assume that every AI job requires the same skill set. Read the job description carefully and identify the technologies and responsibilities that repeatedly appear.
The Takeaway
If you’re applying for these roles, I would focus on building a strong foundation in Python, machine learning, APIs, SQL, Git, and model deployment.
For AI-focused roles, add LLMs, RAG, AI agents, embeddings, vector databases, and evaluation to your learning path.
Most importantly, build two or three projects that you can explain deeply. A simple project that you understand end-to-end is much more useful in an interview than a long list of projects you copied from tutorials.
I hope you liked this article on AI Engineer jobs and internships for freshers. For more tips on AI and machine learning, you can follow me on Instagram.
