AI/ML Intern

7 days ago

Thāne, India RKDEMY Full time

SKIGIT PLACEMENT

Job Title: AI/ML Intern
Location: Thane, Maharashtra, India

Interview Address:
SKIGIT Placement | RKDEMY House, 2nd Floor, New Matruvandana Society, Opp. Shivam Hotel, Sudarshan Colony, Thane East

Interview Time: 12:30 PM (Walk-in Interview, Monday to Saturday)

About the Role

We are seeking a passionate and motivated AI/ML Intern to join our technology team in Thane. This internship offers hands-on experience in developing, training, and deploying machine learning models, along with opportunities to work on full-stack integration and cloud-based deployment. You'll get exposure to real-world projects, mentorship from experts, and the chance to sharpen both AI/ML and software development skills.

Key Responsibilities:-

  • Design, develop, and fine-tune AI/ML models for real-world applications.
  • Work with Python, TensorFlow, and PyTorch to build intelligent systems.
  • Implement similarity-based retrieval tasks using Faiss.
  • Integrate ML models into backend services using Django REST Framework (DRF).
  • Collaborate with front-end developers (HTML, CSS, JavaScript) for seamless product integration.
  • Manage MySQL databases and Redis caching systems.
  • Support application deployment, testing, and monitoring on AWS Cloud.
  • Assist with debugging, performance optimization, and continuous pipeline improvements.

Requirements:-

  • Currently pursuing or recently completed a Bachelor's/Master's degree in Computer Science, AI, ML, Data Science, or related fields.
  • Strong programming skills in Python.
  • Basic knowledge of machine learning concepts and hands-on experience with TensorFlow/PyTorch.
  • Familiarity with Django REST Framework (DRF).
  • Working knowledge of MySQL, Redis, and Faiss.
  • Basic front-end skills: HTML, CSS, JavaScript.
  • Exposure to AWS services (EC2, S3, Lambda, etc.) is a plus.
  • Eager to learn, self-motivated, and enthusiastic about solving technical challenges.

What You'll Gain:-

  • Hands-on experience with AI/ML projects and real-world applications.
  • Exposure to full-stack development and cloud deployment.
  • Mentorship from experienced developers and data scientists.
  • Opportunity to work in a fast-paced, innovative environment.

For more information:
Hr Sachin: Call & WhatsApp)
Email:

Job Types: Full-time, Permanent, Fresher

Work Location: In person

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