Ai - Python Intern

4 days ago

Remote, India GVR Business Transforms Full time

**Coding and Development**:

- Assist in developing and implementing AI models and algorithms using Python libraries such as TensorFlow, Keras, or PyTorch.
- Collaborate with senior AI engineers to design, train, and evaluate machine learning models.
- **Data Preprocessing and Analysis**:

- Preprocess and clean data for AI model training and testing.
- Analyze and visualize data to identify patterns and insights.
- **Model Training and Evaluation**:

- Train machine learning and deep learning models using Python-based frameworks.
- Evaluate model performance and optimize algorithms for accuracy and efficiency.
- **Documentation**:

- Document code, algorithms, and procedures to ensure reproducibility and maintainability.
- Create technical documentation and reports for AI projects and experiments.
- **Learning and Growth**:

- Take initiative to learn new AI technologies, tools, and techniques.
- Participate in training sessions, workshops, and online courses to enhance AI skills.
- **Collaboration**:

- Work collaboratively with other team members to achieve project goals.
- Communicate effectively with team members and seek assistance when needed.

**Qualifications**:

- Pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Basic understanding of Python programming language and its libraries for AI and machine learning (e.g., TensorFlow, Keras, scikit-learn).
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.

**Job Types**: Full-time, Part-time, Fresher, Internship, Temporary
Contract length: 3 months

Expected hours: 8 per week

Schedule:

- Day shift
- Evening shift
- Fixed shift
- Morning shift
- Night shift
- Rotational shift
- Weekend availability

**Experience**:

- total work: 1 year (preferred)

Work Location: Remote

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