Machine Learning Engineer - Internship

Overview

About the internship:

We are looking for a machine learning engineer intern who is curious about AI, machine learning, and building intelligent systems. This role is ideal for students who want hands-on experience working with real-world ML applications.

Selected intern's day-to-day responsibilities include:

1. Assist in building and training machine learning models.
2. Work on data pre-processing, feature engineering, and model evaluation.
3. Experiment with ML algorithms and improve model performance.
4. Support development of AI-powered tools and automation.
5. Collaborate with backend developers to integrate ML models into applications.

Who can apply:

Only those candidates can apply who:

1. are available for full time (in-office) internship
2. can start the internship between 4th Mar'26 and 8th Apr'26
3. are available for duration of 3 months
4. have relevant skills and interests
5. are Computer Science Engineering students

Stipend:

INR₹ 15,000 lump sum

Deadline:

2026-04-04 23:59:59

Skills required:

MySQL, JavaScript, Artificial intelligence, APIs, Machine Learning Operations (MLOps) and LLMOps

Other Requirements:

1. BTech or BE students from computer science, artificial intelligence, data science, IT, or related technical fields.

2. Freshers with interest in Machine Learning and Artificial Intelligence.

3. Strong curiosity toward technology and continuous learning.

4. Willingness to explore AI tools, models, and related development concepts.

About Company:

Talent Corner HR Services Private Limited is a professional human resources organization providing innovative recruitment solutions to the corporate world. We are more than a 17-year-old recruitment company headquartered in Mumbai & have a presence in more than 25 cities across India, including Delhi, Bangalore, Hyderabad, Chennai, Pune, etc., with a team of more than 300 recruiters.

Additional information:

• 1. Hands-on experience with real machine learning projects.
  2. Exposure to AI system development processes.
  3. Mentorship and guidance from experienced developers.
  4. Internship certificate upon successful completion.
  5. Potential PPO (Pre-Placement Offer) opportunity based on performance.