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Indrakart | Artificial Intelligence AI | Hyderabad | Bharat | | 6/30/2024

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Job Location: Hyderabad

Job Detail:

About the internship

We are looking for a talented and enthusiastic Artificial Intelligence (AI) intern to join our team at Indrakart Private Limited! If you are passionate about AI, Python, Deep Learning, Natural Language Processing (NLP), and Neural Networks, this is the perfect opportunity for you to gain hands-on experience in a dynamic and fast-paced environment.

Key Responsibilities:
1. Assist in developing and implementing AI models and algorithms for various projects.
2. Conduct research on latest AI technologies and trends to enhance our products and services.
3. Collaborate with the AI team to analyze data and optimize algorithms for better performance.
4. Support in building and training neural networks for image and text recognition tasks.
5. Assist in developing NLP models for sentiment analysis, chatbots, and language translation.
6. Work closely with senior AI engineers to troubleshoot and debug AI models as needed.
7. Participate in team meetings and contribute innovative ideas to improve AI solutions for our clients.

If you are a proactive and eager learner with a strong passion for AI, we want to hear from you! Join us at Indrakart Private Limited and take your AI skills to the next level. Apply now!

Skill(s) required

Artificial Intelligence Deep Learning Natural Language Processing (NLP) Neural Networks Python

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 12th Jun’24 and 17th Jul’24

3. are available for duration of 3 months

4. have relevant skills and interests


Certificate Letter of recommendation Informal dress code

Number of openings


About Indrakart Private Limited

For the issues faced in the cross-border trade, we are building a product called FDP Connect which is AI & Blockchain-enabled international trade transactional platform, that helps in digitizing, automating, streamlining, and bringing in interoperability between the stakeholders involved in the supply chain.

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