Ai/ml Intern
1 month ago
This internship provides a unique opportunity to work alongside experienced professionals, contributing to real-world projects that impact our company's success.
**Responsibilities**:
- Collect, clean, and pre-process data for machine learning purposes.
- Work with diverse datasets to ensure their quality and relevance to the project.
- Assist in developing and implementing machine learning models.
- Collaborate with the AI/ML team to enhance model performance and accuracy.
- Experiment with different algorithms to optimize results.
- Conduct thorough evaluations of machine learning models.
- Perform testing to validate the effectiveness of developed models.
- Document code, methodologies, and experimental results.
- Create comprehensive documentation for models and algorithms developed during the internship.
- Develop technical content for AI/ML domain for edtech clients.
- Work closely with cross-functional teams to understand project requirements.
- Collaborate with senior AI/ML engineers and researchers to contribute effectively to ongoing projects.
- Stay updated on the latest trends and advancements in AI/ML.
- Engage in continuous learning and skill development to enhance technical expertise.
**Qualifications**:
- Currently pursuing a bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
- Solid understanding of machine learning concepts and algorithms.
- Proficient in at least one programming language such as Python, Java, or C++.
- Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
**Internship Duration
- 3 to 6 months**
**Stipend
- Rs.5000- Rs.7000 per month**
**Working hours
- 09:30 AM to 05:30 PM**
**Working days
- Monday to Friday**
**Location
- Sector 62, Noida, Uttar Pradesh**
**Job Types**: Full-time, Internship
Contract length: 3-6 months
Pay: ₹5,000.00 - ₹7,000.00 per month
**Benefits**:
- Commuter assistance
- Leave encashment
Schedule:
- Day shift
- Monday to Friday
**Education**:
- Bachelor's (preferred)
Work Location: In person
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