Job Description

About the internshipSelected intern\'s day-to-day responsibilities include:1. Develop modules leveraging multi-modal AI to analyse, store, and retrieve data from Vector Databases.
2. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define and refine project requirements.
3. Conduct research on state-of-the-art machine learning techniques and identify opportunities to apply them to our projects.
4. Optimize models and algorithms for scalability, efficiency, and real-time performance.
5. Evaluate the effectiveness of machine learning models and recommend improvements.
6. Contribute to the development of the company\'s AI strategy and help build a culture of innovation and continuous learning.
7. Assist in the deployment and monitoring of AI models in production environments.
Participate in code reviews and provide constructive feedback to peers.
8. Document research findings, model architectures, and development processes.
9. Stay updated with the latest advancements in AI, ML, and Deep Learning technologies.
10. Support the team in data collection, annotation, and management tasks.Skill(s) requiredData Science Deep Learning Machine Learning Natural Language Processing (NLP) PythonEarn certifications in these skillsWho can applyOnly those candidates can apply who:1. are available for full time (in-office) internship2. can start the internship between 22nd Oct\'24 and 26th Nov\'243. are available for duration of 3 months4. have relevant skills and interests

• Women wanting to start/restart their career can also apply.

Other requirements1. Have knowledge of generative AI, multi-modal AI, edge AI, and AI agents.PerksCertificate Letter of recommendationNumber of openings3About Mindwatt IndustriesMindwatt Industries is a new-age R&D company focusing on defense requirements. The areas of research we are involved in are artificial intelligence (AI), cybersecurity, AR, VR, embedded systems, etc.Activity on InternshalaHiring since October 202328 opportunities posted3 candidates hired

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