Hey there, tech enthusiasts! Today, I’ve got an amazing opportunity to share with you — the Associate AI/ML Engineer Intern at 66degrees. If you’re passionate about artificial intelligence, machine learning, and cloud technology, this could be your perfect starting point. In this blog post, we’ll explore everything about the role, including eligibility criteria, selection process, roles and responsibilities, skills required, how to apply, and even some interview questions to help you prepare confidently. So, let’s get started and uncover all the details you need to apply successfully!
Overview | 66Degrees Internship 2025
| Company Name | 66Degrees |
| Job Role | Associate AI/ML Engineer Intern |
| Qualification | Bachelor’s Degree |
| Experience | Fresher |
| Salary | INR 35K/Month |
| Location | Bengaluru |
Eligibility Criteria | 66Degrees Internship 2025
1) Education Qualification: Bachelor’s Degree in Computer Science, Statistics, Data Science, or a related field (Graduating in 2025).
2) Technical Skills: Basic programming or scripting experience in any language, preferably Python.
3) Domain Knowledge: Understanding or prior exposure to AI/ML, Data Analytics, or Data Science.
4) Communication Skills: Strong verbal, written, and interpersonal communication skills.
5) Analytical Ability: Good problem-solving and analytical skills for tackling complex business challenges.
Selection Process | 66Degrees Internship 2025
1) Application Submission: Interested candidates must apply through the official 66degrees career page by filling in accurate details and uploading their updated resume.
2) Resume Screening: The recruitment team reviews all applications to shortlist profiles that align with the eligibility criteria and technical skills required for the role.
3) Technical Test / Interview: Shortlisted candidates may be required to appear for an online technical assessment or interview that evaluates their knowledge of programming, AI/ML concepts, and problem-solving abilities.
4) HR Interview: After clearing the technical round, candidates proceed to an HR interview to assess cultural fit, communication skills, and career motivation.
5) Document Verification & Offer Letter: Successful candidates will receive a provisional offer letter after completing document verification and background checks.
6) Onboarding Process: Finally, selected interns are onboarded into the Gradient Specialist Program, where they begin structured training under the guidance of Google Cloud Certified experts.
HP Launches 4 Free Communication Courses: Boost Your Skills Now!
Roles & Responsibilities | 66Degrees Internship 2025
1) Participate in the Gradient Development Program: You’ll start by completing 66degrees’ intensive Gradient Specialist training program, which prepares you to work on real-world cloud and AI projects using the Google Cloud Platform.
2) Earn Google Cloud Certifications: Interns will pursue and obtain Google Cloud Platform certifications that align with their chosen career path, helping them stand out in the competitive AI/ML industry.
3) Collaborate with Technical and Business Leads: Work closely with senior engineers and project leads to translate global business requirements into practical, scalable technical solutions using data and AI technologies.
4) Contribute to AI & Data Projects: You’ll engage in projects related to machine learning, data analytics, and cloud engineering — gaining hands-on experience in deploying models, analyzing datasets, and automating workflows.
5) Continuous Learning and Development: The company emphasizes professional growth, so you’ll be encouraged to continuously learn, seek mentorship, and actively contribute innovative ideas to improve project outcomes.
Skills & Competencies | 66Degrees Internship 2025
1) Technical Proficiency: A solid understanding of programming languages (especially Python) and familiarity with AI/ML frameworks, data analysis tools, or cloud-based platforms will help you perform effectively.
2) Problem-Solving Mindset: You must possess strong analytical and logical thinking abilities to diagnose challenges and design smart, data-driven solutions for real-world business cases.
3) Communication & Collaboration: Excellent communication skills are vital, as you’ll work closely with teams and clients across different regions. Being able to express ideas clearly makes collaboration smoother.
4) Adaptability & Self-Motivation: Since the internship includes structured training and real project exposure, adaptability and the ability to self-learn new technologies quickly will play a key role in your success.
5) Organizational & Time Management Skills: Handling multiple learning modules, tasks, and projects requires strong organizational abilities. Meeting deadlines while maintaining quality is essential in this fast-paced environment.
Harvard Offers Free Online Tech Courses: Learn Python & AI Now!
How to Apply? | 66Degrees Internship 2025
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill in the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
Apply Link: Click Here
General Interview Questions | 66Degrees Internship 2025
General Questions Interview Questions
1) Tell me about yourself.
How to Answer: Start with your name, educational background, and highlight your interest in AI/ML and cloud technologies. End by mentioning why you’re excited about joining 66degrees.
2) What are your strengths and weaknesses?
How to Answer: Mention technical or personal strengths relevant to this role and a minor weakness that you are currently improving through learning or practice.
3) Where do you see yourself in the next 3 years?
How to Answer: Express your goal of becoming a skilled AI/ML professional working on impactful cloud-based projects, contributing to digital transformation.
4) Why do you want to work at 66degrees?
How to Answer: Highlight your admiration for 66degrees’ partnership with Google Cloud, focus on AI/ML solutions, and its culture of learning and growth.
5) How do you handle tight deadlines or multiple tasks?
How to Answer: Explain how you prioritize tasks, stay organized, and use planning tools to manage workloads efficiently without compromising quality.
Role-Specific Interview Questions
1) What is supervised learning and unsupervised learning?
How to Answer: Explain that supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data. Give examples like regression and clustering.
2) Explain the difference between AI, Machine Learning, and Deep Learning.
How to Answer: AI is the broader concept, ML is a subset of AI focusing on algorithms that learn from data, and Deep Learning uses neural networks for advanced learning tasks.
3) How do you evaluate the performance of a machine learning model?
How to Answer: Mention metrics like accuracy, precision, recall, F1-score, and explain that performance depends on the model type and problem statement.
4) What libraries or frameworks have you used for ML projects?
How to Answer: Talk about libraries like TensorFlow, scikit-learn, or PyTorch, and mention any academic or personal projects you’ve completed using these tools.
5) How would you handle missing data in a dataset?
How to Answer: Describe techniques like mean/median imputation, removal of missing rows, or predictive filling, depending on the dataset and context.
About the Company | 66Degrees Internship 2025
66degrees is a top-tier consulting and professional services company that specializes in AI-focused, data-driven cloud solutions. As a Google Cloud Premier Partner, the company helps global enterprises modernize their operations using next-gen technologies. With a strong focus on innovation, collaboration, and growth, 66degrees nurtures its employees through mentorship and career development programs like the Gradient Specialist Program. This initiative empowers young professionals to gain hands-on experience in cloud architecture, machine learning, and data analytics — preparing them for successful careers in technology consulting.
Conclusion | 66Degrees Internship 2025
That’s all for today’s update! The Associate AI/ML Engineer Intern at 66degrees is a golden opportunity for students graduating in 2025 who want to kickstart their careers in AI and cloud computing. Don’t miss this chance to learn from Google Cloud experts and be part of an organization that values innovation and growth. Apply soon before the application window closes!
I’ll see you in the next blog post with more exciting job opportunities. Until then, keep learning, stay motivated, and take that first step toward your dream tech career!
Get Access to 60+ Free online courses from Standford
Frequently Asked Questions | 66Degrees Internship 2025
1) Who can apply for the Associate AI/ML Engineer Intern at 66degrees?
Ans: Candidates graduating in 2025 with a background in Computer Science, Statistics, Data Science, or similar fields can apply.
2) Do I need prior work experience?
Ans: No, this internship is suitable for fresh graduates or final-year students passionate about AI/ML and cloud computing.
3) What certifications will I earn during the program?
Ans: Interns will pursue Google Cloud Platform certifications as part of the Gradient Specialist Program.
4) What skills should I focus on before applying?
Ans: Focus on Python, machine learning fundamentals, data analysis, and understanding cloud computing basics.
Disclaimer | 66Degrees Internship 2025
The Recruitment Information Provided above is for Informational Purposes only. The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information.