As an AI/ML Engineer Intern at CrossShores Infotech, you will have the opportunity to work on exciting projects involving machine learning and artificial intelligence. You’ll collaborate with our team to help develop, test, and implement AI/ML models using Python. This internship offers practical experience in AI/ML technologies and can lead to a full-time position based on your performance.
Key Responsibilities Of Hiring AI/ML Engineer Intern:
- Collaborate with the data science and software development teams to design, develop, and implement machine learning models.
- Utilize Python to create scalable solutions for real-world AI/ML problems.
- Assist in data preprocessing, feature engineering, and model optimization.
- Deploy machine learning models using libraries like TensorFlow, PyTorch, or Scikit-learn.
- Continuously research and integrate the latest AI/ML trends into our ongoing projects.
- Participate in code reviews, team meetings, and contribute innovative ideas.
Required Skills For Intern AI / ML Engineer :
- Good understanding of OOP Concepts
- Good understanding of basics of programming like looping structures, conditional statements, Good code practices, Code refactoring, Class based programming, different scripting languages
- Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field.
- Proficiency in Python, with a strong understanding of libraries like NumPy, Pandas, and Matplotlib.
- Knowledge of machine learning algorithms and experience with frameworks such as TensorFlow or PyTorch.
- Familiarity with data structures, algorithms, and statistics.
- Strong problem-solving skills and a passion for working with AI/ML technologies.
- Excellent communication and teamwork skills.
Preferred Qualifications For Intern AI / ML Engineer :
- Master Degree holders – MCA, M.Tech, M.Sc. (IT & CA)
- Bachelor Degree holders – B.E (Computer, IT, AI/ML), B.Tech
- Good communication and teamwork abilities
Why Join Us?
- Mentorship: Work closely with experienced developers and receive guidance on your projects.
- Learning Opportunities: Exposure to real-world Android projects and cutting-edge technologies.
- Career Growth: Top performers will be offered full-time positions upon completion of the internship.
- Culture: Collaborative and supportive work environment with a focus on innovation.
Job Terms & Conditions
- By applying to the job / internship, you agree to Terms & Conditions. Please check before applying.
- Your job tenure will be commenced on completion of the internship
Duration: 4 to 6 months (Internship) + Job Program
Stipend: RS. 7000 or higher Per Month
Join us in shaping the future with AI and machine learning!