Machine Learning Intern

1 hour ago


Mumbai, Maharashtra, India Cloud Counselage Full time ₹ 3,00,000 - ₹ 6,00,000 per year


TO GET TIMELY UPDATES/NOTIFICATIONS ON JOB/INTERNSHIP OPENINGS, FEEL FREE TO JOIN OUR COMMUNITY (FREE MEMBERSHIPS) @ (5 LAKH+ MEMBERS FROM 40+ COUNTRIES)

Job Overview:

Looking for a passionate and motivated individual to join our team as a Machine Learning Intern. As a Machine Learning Intern, you will work closely with our data science team to develop, implement, and evaluate machine learning models. You will have the opportunity to gain hands-on experience in various aspects of machine learning, including data preprocessing, feature engineering, model training, and evaluation. This internship is an excellent opportunity for individuals looking to apply their theoretical knowledge in a real-world setting and gain valuable industry experience.

Responsibilities:

  • Collaborate with the data science team to understand project requirements and objectives
  • Assist in collecting, preprocessing, and analyzing data for machine learning tasks
  • Implement machine learning algorithms and models using appropriate libraries and frameworks
  • Conduct experiments to evaluate the performance of machine learning models and algorithms
  • Work on feature engineering and selection to improve model performance and generalization
  • Participate in brainstorming sessions and contribute ideas for new machine learning projects and initiatives
  • Document your work, including code, experiments, and findings, in a clear and organized manner
  • Stay updated on the latest advancements and best practices in machine learning and related fields
  • Communicate effectively with team members and stakeholders to provide updates on progress and results

Mandatory Requirements:

  • Currently pursuing a Diploma or a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Proven experience (research projects or internship) in ML, NLP, or deep learning 
  • trong understanding of ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with NLP models, embeddings, and vector similarity methods.
  • Proficiency in Python, SQL, and libraries like Hugging Face Transformers, spaCy, NLTK
  • Experience in training LLMs and fine-tuning open-source models.

Preferred Requirements:

Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.

Eligibility Criteria:

  • Minimum commitment of 3 months full-time internship without stipend
  • Have a working device(laptop/desktop) with a stable internet connection
  • Membership of Industry Academia Community (If you are not a member already, please sign up at )

Qualities:

  • Excellent problem-solving skills and attention to detail
  • Ability to work independently and in a team environment
  • Strong communication and interpersonal skills
  • Willingness to take on additional responsibilities outside ML domain

What's For The Candidate:

  • Satisfaction of Working for a Social Cause to eradicate the perpetual unemployability issue amongst freshers, by helping millions of students get job-ready, in time
  • Internship Certificate from Cloud Counselage Pvt. Ltd.
  • Opportunity for apprenticeship and stipend w.e.f. the completion of 3 months full-time internship
  • Letter of Recommendation based on performance
  • Opportunities for professional development and career growth.
  • A collaborative and dynamic work environment.
  • Networking opportunities with industry experts and researchers
  • Flexible working hours and a supportive work environment

Job Location: Remote

NOTE: Our noble initiative 'IAC VISION 2030' @ would bring 85 MN (8.5 Cr.) global jobs to India by 2030 which otherwise would go vacant due to global talent shortage. This would provide employment and career opportunities for millions of job-ready interns, freshers, professionals and entrepreneurs through our Industry Academia Community (IAC). By submitting your application you become a free member of IAC (5 Lakh+ Members from 40+ Countries).




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