Machine Learning Intern
3 months ago
About Us
Web Neural Infotech is at the forefront of technology, specializing in innovative solutions that leverage the power of machine learning and artificial intelligence. Our team is dedicated to creating impactful technologies that drive business success and enhance user experiences.
Position Overview
We are seeking a motivated and passionate Machine Learning Intern to join our dynamic team. This internship offers an exciting opportunity to work on real-world projects, gain hands-on experience in machine learning, and contribute to the development of cutting-edge technologies.
**Responsibilities**:
- Collaborate with the data science team to analyze datasets and extract meaningful insights.
- Conduct experiments and document results to optimize machine learning algorithms.
- Participate in code reviews and contribute to improving code quality.
- Stay updated with the latest trends and advancements in machine learning and AI technologies.
**Qualifications**:
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Strong understanding of machine learning algorithms and principles.
- Proficiency in programming languages such as Python or R.
- Familiarity with libraries and frameworks such as TensorFlow, Keras, or Scikit-learn.
- Knowledge of data manipulation and analysis tools like Pandas and NumPy is a plus.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
- Strong communication skills, both verbal and written.
What We Offer
- Hands-on experience in machine learning and AI projects.
- Mentorship from experienced professionals in the field.
- A collaborative and innovative work environment.
- Opportunities for personal and professional growth.
**Job Type**: Internship
Contract length: 3 months
Pay: ₹5,000.00 - ₹10,000.00 per month
Schedule:
- Monday to Friday
- Rotational shift
Supplemental Pay:
- Commission pay
- Performance bonus
- Shift allowance
Work Location: Remote
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