About the program

We are seeking a motivated and enthusiastic Machine Learning Intern to join our team. As an intern, you will work closely with our experienced machine learning engineers and data scientists to gain hands-on experience in applying machine learning algorithms and techniques to real-world projects. Responsibilities: Assist in the development and implementation of machine learning models using Python

Perks

some of the perks and benefits you can expect from our internship program: Hands-on Experience: Gain practical, real-world experience in the field of machine learning with Python. Work on meaningful projects and contribute to the development of innovative solutions. Mentorship and Guidance: Receive guidance and mentorship from experienced professionals in the field of machine learning. Learn from their expertise and get valuable insights into industry best practices. Skill Development: Enhance your Python programming skills and deepen your understanding of machine learning concepts and algorithms. Acquire new technical skills and expand your knowledge in this rapidly growing field. Networking Opportunities: Connect with professionals, experts, and fellow interns in the industry. Build a strong network of like-minded individuals who share your passion for machine learning. Personal Growth: Improve your problem-solving abilities, analytical thinking, and critical reasoning skills. Embrace new challenges and develop resilience and adaptability in a dynamic and fast-paced work environment. Impactful Projects: Work on projects that have a real impact and contribute to solving real-world problems. Experience the satisfaction of seeing your work make a difference. Professional Exposure: Gain exposure to the latest tools, technologies, and frameworks used in the field of machine learning. Stay up-to-date with industry trends and advancements. Certificate of Completion: Receive a certificate of completion at the end of the internship, recognizing your valuable contributions and the skills you have acquired during the program. Career Opportunities: Internships often serve as a gateway to future employment. Stand out from the competition and increase your chances of securing a job in the field of machine learning. Fun and Supportive Environment: Join a collaborative and inclusive team that values creativity, innovation, and teamwork. Enjoy a positive work atmosphere that encourages learning and personal growth.

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 8 Weeks
4. have relevant skills and interests

Terms of Engagement

Internship Nature: The internship is a learning opportunity and does not guarantee employment with Linta Technologies upon completion. The intern will be working under the guidance and supervision of the assigned mentor or team lead. Responsibilities: The intern is expected to actively participate in assigned projects, tasks, and learning activities related to machine learning with Python. Adhere to project deadlines and deliver high-quality work in a timely manner. Maintain confidentiality and protect any proprietary or sensitive information shared during the internship. Conduct and Professionalism: The intern is expected to maintain a professional demeanor and adhere to the company's code of conduct and ethical standards. Treat all team members, colleagues, and clients with respect and courtesy. Any form of discrimination, harassment, or unethical behavior will not be tolerated. Intellectual Property: Any intellectual property, including code, algorithms, designs, or ideas developed during the internship, will remain the property of Linta Technologies. The intern shall not disclose or use any proprietary information for personal gain or for the benefit of any other party. Compensation: The internship is unpaid, and no financial compensation will be provided. However, the intern will receive valuable learning opportunities, hands-on experience, and mentorship. Termination: Linta Technologies reserves the right to terminate the internship at any time if the intern fails to meet the expectations or violates the terms of engagement. Confidentiality: The intern shall maintain the confidentiality of any confidential information, trade secrets, or proprietary materials disclosed during the internship. This obligation remains even after the conclusion of the internship.

Number of openings

100