AI / Data Opportunity
AI/ML Intern
Employer / Opportunity Provider
Gravit Info Systems
Location
Gwalior, Madhya Pradesh, India (Hybrid — 3 days in office per week)
Type / Duration
Not specified
Gravit Info Systems is inviting applications for AI/ML Internship opportunities in Gwalior, Madhya Pradesh. Eligible applicants include B.Tech 3rd-year and 4th-year students who are passionate about Artificial Intelligence and Machine Learning. Interns will work on real-world AI/ML projects involving data analysis, model building, and evaluation, while exploring Deep Learning, Natural Language Processing (NLP), Computer Vision, Python, and machine learning libraries and tools. The internship offers opportunities to learn from experienced professionals, strengthen technical skills, and gain practical project experience. Benefits include a certificate, a letter of recommendation, a collaborative work environment, and potential career growth opportunities. The work model is hybrid, with three days in the office each week. Interested candidates should email their CV to reachus@gravitinfosystems.com and mention 'AI/ML Intern - Your Name' in the subject line.
Highlight
Open to B.Tech 3rd-Year & 4th-Year Students | Real-World AI/ML Projects | Hybrid Work
The original application link was not provided.
About this listing:
This opportunity is listed and curated by EvalLoop Jobs, an independent opportunity discovery platform. EvalLoop Jobs is not the employer or recruiter for third-party opportunities listed here. The company shown above is the associated employer or opportunity provider where available. Please verify the original opportunity, eligibility, application process, and other details independently before applying.
This opportunity is listed and curated by EvalLoop Jobs, an independent opportunity discovery platform. EvalLoop Jobs is not the employer or recruiter for third-party opportunities listed here. The company shown above is the associated employer or opportunity provider where available. Please verify the original opportunity, eligibility, application process, and other details independently before applying.