Ai Internship- Python/java

1 day ago

Chennai Tamil Nadu, India GNB Property Full time

**Job Title: AI Intern**

**Overview**

**Key Responsibilities**:

- Assist in building and optimizing machine learning models, ensuring they meet project requirements.
- Participate in the preprocessing of datasets and data cleaning to improve the performance of AI models.
- Work with supervised, unsupervised, and reinforcement learning techniques, depending on the project.
- Perform research on current AI trends, technologies, and best practices to assist the team in staying up to date.
- Analyze and process large datasets to extract meaningful insights for AI model development.
- Assist in testing AI models to ensure they are functioning as expected.
- Identify and address potential issues or inaccuracies in AI systems.
- Work closely with engineers, data scientists, and other teams to align AI solutions with business goals.
- Contribute ideas and insights during team meetings, offering solutions to optimize AI solutions.
- Maintain detailed records of AI experiments, model development processes, and results.
- Assist in preparing reports and presentations summarizing the outcomes of AI research or experiments.

**Skills**:

- **Programming Languages**: Proficiency in programming languages such as Python, R, or Java. Knowledge of AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn is an advantage.
- **Mathematics and Statistics**: Strong understanding of statistical methods, linear algebra, and calculus to develop and evaluate machine learning models.
- **Data Handling**: Familiarity with data manipulation, cleaning, and preprocessing techniques using libraries such as Pandas or Numpy.
- **Problem-Solving**: Strong analytical thinking and problem-solving skills to troubleshoot and optimize models.
- **Communication Skills**: Ability to clearly communicate findings, challenges, and solutions to team members.

**Job Types**: Full-time, Internship

Pay: ₹15,000.00 - ₹20,000.00 per month

**Benefits**:

- Food provided

Schedule:

- Day shift
- Fixed shift
- Monday to Friday

Work Location: In person

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