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Ai/ml Intern
1 week ago
Title:
AI/ML Internship Programme
Program Overview:
Join 5BIX IT SOLUTIONS AI/ML Internship Programme and embark on an enriching journey into the dynamic world of artificial intelligence and machine learning.
Our programme offers a unique opportunity for aspiring AI/ML enthusiasts to gain hands-on experience, collaborate with industry experts, and contribute to cutting-edge projects that drive innovation and impact.
Program Highlights:
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Hands-on Experience: Engage in real-world AI/ML projects and gain practical experience in developing, implementing, and optimizing machine learning models and algorithms.
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Mentorship: Work closely with seasoned professionals who will provide guidance, mentorship, and valuable insights to support your learning and growth throughout the programme.
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Learning Opportunities: Participate in workshops, seminars, and training sessions designed to enhance your understanding of AI/ML technologies, methodologies, and best practices.
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Collaborative Environment: Join a collaborative and inclusive team environment where you'll have the opportunity to contribute your ideas, learn from others, and make meaningful connections within the industry.
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Networking: Expand your professional network by connecting with peers, mentors, and industry professionals through various networking events and activities.
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Career Development: Gain exposure to diverse career paths within the field of AI/ML and receive guidance on potential career opportunities and pathways post-internship.
Program Duration:
The AI/ML Internship Programme duration is [duration: e.g., 3 months, 6 months] with the possibility of extension based on performance and business needs.
Who Should Apply:
This programme is open to motivated individuals currently pursuing a Bachelor's, Master's, or Ph.
D.
degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields, with a keen interest in artificial intelligence and machine learning.
Job Types:
Part-time, Fresher, Internship
Salary:
₹5, ₹6,000.00 per month
Schedule:
- Morning shift
Experience:
- total work: 1 year (preferred)
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